System for preparing garment pattern data to enable subsequent computerized prealteration

• US 4,916,634 A
• Filed: 03/16/1988
• Issued: 04/10/1990
• Est. Priority Date: 03/16/1988
• Status: Expired due to Fees

• Current Assignee: Minnesota Mining and Manufacturing Co (3M Company)
• Original Assignee: Minnesota Mining and Manufacturing Co (3M Company)
• Inventors: Vittal, AliciaMae H., Grunes, Mitchell B., Collins, John E., Kozak, Darryn J.
• Primary Examiner(s): MacDonald, Allen
• Application Number:
  US07/169,046
• Time in Patent Office: 755 Days
• Field of Search: 364/470, 364/513, 364/300
• US Class Current: 706/62
• CPC Class Codes: A41H 3/007 Methods of drafting or marking-out patterns using computers computer-aided design G06F30/00

Abstract

A computerized system for preparing garment pattern data to enable subsequent computerized prealteration based on standard or individual body measurements. The system comprises pattern storage for storing garment pattern data comprising points and lines depicting one or more garments. The system further comprises garment knowledge storage for storing generic garment knowledge for each of a plurality of garment styles. The garment knowledge storage comprises feature description storage for storing descriptions of landmarks and other garment features that are expected to be found in garments representative of the garment style. The garment knowledge storage further comprises generic constraint storage for storing at least one of algorithms and declarative structures for relating body measurements to changes in one or more of the landmarks and other garment features found in garments representative of the garment style. The system also includes a processor for preparing garment pattern data for modification by relating the generic garment knowledge to the garment pattern data.

Claims

1. A computerized system related to preparing garment pattern data to enable subsequent computerized prealterations based on standard or individual body measurements, the garment pattern data comprising points and lines, comprising:

pattern storage means for specifying garment pattern data comprising points and lines depicting one or more garments;

garment knowledge storage means for specifying generic garment knowledge for each of a plurality of garment styles, comprising;

feature description storage means for specifying feature descriptions comprising descriptions of landmarks and other garment features that are expected to be found in garments representative of a garment style; and

generic constraint storage means for specifying generic constraints comprising at least one of algorithms and declarative structures for relating body measurement to changes in one or more of the landmarks and other garment features found in garments representative of the garment style; and

processor means for preparing garment pattern data for modification by relating the generic garment knowledge to the garment pattern data.

2. The system of claim 1 wherein the processor means comprises:

classification means for selecting at least one garment style within the generic garment knowledge that applies to a garment in the garment pattern data; and

feature identification means for identifying one or more points or lines in the garment pattern data that correspond to a feature description within the selected generic garment knowledge.

3. The system of claim 2 wherein the processor means further comprises constraint generation means for generating prealteration constraints that relate directly to the lines and points in the garment pattern data by substituting the lines and points identified by the feature identification means for the the descriptions of landmarks and other garment features referred to in the generic constraints of the selected garment knowledge.

4. The system of claim 2 wherein:

the garment knowledge storage means further comprises storage means for specifying one or more identifiers corresponding to a garment style;

the classification means comprises garment classification means, comprising;

storage means for specifying a textual description of one or more garments; and

garment identification means for determining for a garment whether an identifier appears in the textual description and, for each identifier included in the textual description, for associating one or more of the garments referred to with at least one of the garment styles.

5. The system of claim 2 wherein the classification means further comprises part classification means for associating a part in the garment pattern data with one or more of the garments in the garment pattern data.

6. The system of claim 5 wherein:

the garment knowledge storage means further comprises;

generic part storage means for specifying generic part knowledge for each of a plurality of part types, a part type corresponding to a part of a garment; and

expected parts storage means for specifying for a garment style a description of the part types expected to be found in garments of the garment style; and

the part classification means further comprises;

means for associating a part in the garment pattern data with a particular part type;

means for determining the expected part types for a garment from the one or more selected garment styles for that garment; and

means for associating a garment in the garment pattern data with a corresponding part having a part type matching an expected part type for the garment.

7. The system of claim 6 wherein:

the generic part storage means further comprises means for specifying one or more identifiers relating to a part type; and

the part association means further comprises;

means for associating a part name with a part in the garment pattern data; and

means for determining, for an expected part type of a garment, whether an identifier of the expected part type matches the part name of any part and, when the identifier matches the part name of a part, for associating the part with the garment and with the expected part type.

8. The system of claim 7 wherein the part association means further comprises:

means for determining, for a part that is not an expected part of a garment in the garment pattern data, whether an identifier of any part type matches the part name of that part and, when the identifier of a specific part type matches the part name, for associating the part with the specific part type; and

means for associating a part in the garment pattern data that is not already associated with a garment with one or more of the garments in the garment pattern data.

9. The system of claim 5 wherein the feature identification means further comprises:

means for determining an expected orientation of an identified part; and

means for rotating the coordinate data representing the lines and points depicting a part in the garment pattern data in order to orient the part in accordance with its expected orientation.

10. The system of claim 2 wherein:

the feature identification means comprises;

means for determining expected landmarks and other garment features for a garment in the garment pattern data from the one or more selected garment styles for the garment; and

means for identifying one or more points or lines in the garment pattern data that correspond to the expected landmarks and other garment features associated with the garment.

11. The system of claim 10 wherein the processor means comprises:

dependence means for identifying that a line or point is dependent upon the modification of another line or point; and

updata sequence means for determining, for a particular garment, an order in which to modify the lines and points in the garment pattern data so that a dependent line or point in the garment pattern data is modified after modifying the lines and points on which it depends.

12. The system of claim 11 wherein the dependence means comprises means for determining when a line containing a midpoint is also an endpoint of another line, and for identifying the line with the endpoint as being dependent on the line with the same point as a midpoint.

13. The system of claim 11 wherein the dependence means comprises:

means for determining when an angle dependency exists between two lines in the garment pattern data that specifies limits on the angle formed by the two lines at the point where they join; and

means for identifying the line that is dependent on the the other line of the angle dependency.

14. The system of claim 10 wherein:

the feature description storage means comprises means for specifying information describing expected endpoints of lines described by a feature description; and

the feature identification means further comprises;

means for determining when a line corresponding to an expected feature description is missing from the garment pattern data;

means for identifying the endpoints in the garment pattern data corresponding to the expected endpoints described in the feature description of the missing line; and

means for creating a line in the garment pattern data corresponding to the missing expected line, the created line comprising the identified endpoints.

15. The system of claim 2 wherein:

the feature description storage means comprises;

expected parts means for specifying a description of a part type expected to be found in garments of a garment style; and

generic part storage means for specifying generic part knowledge for each of a plurality of part types, a part type corresponding to a part of a garment, the generic part storage means comprising means for specifying expected landmarks and other garment features for a part type;

the classification means comprises part classification means for identifying at least one particular part in the garment pattern data, comprising;

means for associating a part in the garment pattern data with a particular part type;

means for determining an expected part type for a garment in the garment pattern data from the one or more selected garment styles for that garment;

means for associating a garment with a corresponding part in the garment pattern data based on an association between the part and an expected part type for the garment; and

the feature identification means comprises;

means for determining expected landmarks and other garment features for a part from its associated part type; and

means for identifying one or more points or lines in the garment pattern data that correspond to the expected landmarks and other garment features associated with the part.

16. The system of claim 15 wherein:

the generic part storage means further comprises perimeter storage means for specifying description of the expected perimeter lines for each of a plurality of part types; and

the feature identification means further comprises;

means for determining the expected perimeter lines for an identified part from its associated part type; and

perimeter identification means for identifying one or more lines in the garment pattern data that correspond to the expected perimeter lines in a particular part.

17. The system of claim 16 wherein:

the perimeter storage means further comprises means specifying descriptions of expected perimeter lines, the descriptions comprising connection information related to how the perimeter lines are expected to connect; and

the perimeter identification means further comprises;

means for identifying a perimeter line in the garment pattern data corresponding to the description of an expected perimeter line; and

means for identifying a remaining perimeter line connected to an identified perimeter line based on the connection information associated with the identified perimeter line.

18. The system of claim 16 wherein the processor means comprises attachment means for determining when a modification applied to a line or point in the garment pattern data should also be applied to another line or point in the garment patten data.

19. The system of claim 18 wherein the attachment means comprises:

means for detecting when a line is geometrically outside of the boundaries formed by the identified perimeter; and

means for attaching one or more points on the outside line to one of the points on an identified perimeter line so that modifications applied to the point on the perimeter line are also applied to the one or more points on the outside line.

20. The system of claim 2 wherein the generic constraint storage means comprises means for specifying one or more measurement descriptions for a garment style, a measurement description comprising a description of a physical dimension in terms of the expected landmarks and other garment features of the garment style.

21. The system of claim 20 wherein the processor means comprises:

means for associating a measurement description with a garment in the garment pattern data; and

measurement derivation means for deriving a value for a physical dimension of the garment based on the measurement description.

22. The system of claim 21 wherein:

the generic constraint storage means comprises measurement storage means for specifying a set of standard body measurements;

the pattern storage means comprises means for specifying a depiction of a garment that is designed to fit the standard body measurements; and

the processor means further comprises total ease determination means for determining a total ease value that relates the derived value of a physical dimension of the garment to the standard body measurements.

23. The system of claim 22 wherein:

the generic constraint storage means further comprises fit ease means for spicifying information related to the amount by which a physical garment dimension should differ from the body measurements in order to allow for comfort and wearability; and

the ease determination means further comprises design ease determination means for determining a design ease value for a physical garment dimension by comparing the fit ease value with the total ease value for the physical garment dimension.

24. The system of claim 20 wherein:

the generic constraint storage means comprises means for specifying generic couplings which describe how changes to the physical dimensions of a garment within a particular garment style are applied to the expected landmarks and other garment features of that garment style; and

the processor means comprises means for selecting a generic coupling for a garment in the garment pattern data from the one or more selected garment styles for that garment.

25. The system of claim 24 wherein the processor means further comprises couplings generation means for generating prealteration couplings that relate directly to the lines and points in the garment pattern data by substituting the lines and points identified by the feature identification means for the feature descriptions referred to in the generic couplings of the selected garment styles.

26. the system of claim 20 wherein:

the generic constraint storage means comprises means for specifying generic adjustment descriptions which describe how the body measurements relate to changes in the physical dimensions of a garment within a particular garment style; and

the processor means comprises means for determining a generic adjustment description for the garmenr from the one or more selected garment tyles for the garment.

27. The system of claim 2 wherein:

the generic constraint storage means comprises reshape description means for specifying one or more reshape descriptions that define the desired shape of lines described by a feature description; and

feature identification means comprises means for determining a reshape description for an identified feature based on the association between the identified feature and the feature description.

28. The system of claim 27 wherein the reshape description storage means comprises means for specifying a reshape points description, the reshape points description comprising a set of control points that are used to control the shape of an identified feature, and a specification describing a method for controlling the shape of the identified feature for each of the control points in the set.

29. The system of claim 2 wherein the generic constraint storage means comprises angle description storage means for specifying one or more angle specifications, the angle description storage means comprising:

line description storage means for specifying descriptions of two lines that are expected to be connected; and

value description storage means for specifying a description of a value or range of values that define limits on the angle between the two lines described by the line description storage means at the point where they are connected.

30. The system of claim 29 wherein:

the value description means specifies that the value is to be derived from the garment pattern data; and

the processor means further comprises angle measurement means for determining the value to be stored in the value description means by measuring the angle between two lines in the garment pattern data as specified by the line description means.

31. The system of claim 2 wherein the feature identification means further comprises:

dart detection means for identifying one or more points or lines in the garment pattern data that comprise a depiction of a dart; and

pleat detection means for identifying one or more points or lines in the garment pattern data that comprise a depiction of a pleat.

32. The system of claim 31 wherein the dart detection means comprises:

means for identifying a set of points and lines in the garment pattern data that constitute the depiction of an individual garment part;

means for distinguishing lines that form the perimeter of the part from lines that are internal to the part;

means for detecting when a connected set of internal lines intersects the perimeter twice; and

means for determining whether the connected set of internal lines depicts a dart.

33. The system of claim 31 wherein the processor means further comprises dart measurement means for determining a geometric transformation to close a dart, the dart measurement means comprising:

parallel sides means for determining whether tangents of first and second dart lines at first and second dart ends respectively are parallel;

translation means for determining, when the first and second dart lines are parallel, a geometric translation to make the second dart end lie on top of the first dart end; and

rotation means for determining, when the first and second dart lines are not parallel, a geometric rotation and pivot point to make the second dart end lie on top of the first dart end and to make the tangent of the second dart line be parallel to the tangent of the first dart line.

34. The system of claim 1 wherein the pattern storage means comprises means for specifying information related to the state of progress of the processor means and for allowing the progress of the processor means to be stopped and restarted at a later time or on a different machine.

35. The system of claim 1 wherein the processor means comprises means for producing prepared pattern data, the prepared pattern data comprising one or more garment descriptions, a garment description comprising one or more measurement constraints that specify relationships between physical dimensions of the garment and the body measurements.

36. The system of claim 35 wherein the processor means further comprises means for producing a measurement constraint comprising a total ease value that relates to the amount by which a physical garment dimension should differ from the body measurements.

37. The system of claim 36 wherein the processor means further comprises means for producing a measurement constraint comprising a fit ease value relted to the amount by which a physical garment dimension should differ from the body measurements in order to allow for comfort and wearability, and a design ease value related to the amount by which the total ease differs from the fit ease for a particular physical garment dimension.

38. The system of claim 35 wherein the processor means further comprises means for producing a measurement constraint comprising an adjustment description which describes how the body measurements relate to changes in the physical dimensions of a garment within a particular garment style.

39. The system of claim 35 wherein the processor means further comprises means for p roducing a measurement constraint comprising an adjustment coupling which describes how changes in the physical dimensions of a garment within a particular garment style are translated into changes to the points and lines depicting the garment.

40. The system of claim 1 wherein the processor means comprises means for producing prepared pattern data, the prepared pattern data comprising one or more garment descriptions, a garment description comprising one or more geometric constraints that specify limits on relationships among the points and lines that depict the described garment.

41. The system of claim 40 wherein the processor means further comprises means for producing a geometric constraint that specifies limits on an angle between lines in the garment pattern data.

42. The system of claim 40 wherein the processor means further comprises means for producing a geometric constraint that specifies the manner in which a line may be reshaped.

43. The system of claim 1 wherein the processor means comprises means for producing prepared pattern data, the prepared pattern data comprising one or more dart descriptions that describe a geometric transformation to close the dart in order to operate on a line intersected by the dart.

44. The system of claim 1 wherein the processor means comprises means for producing prepared pattern data, the prepared pattern data comprising one or more garment descriptions, a garment description comprising a plurality of lines or points, one or more dependency relationships among the lines or points specifying when a change to an independent member of a relationship will cause a change to the dependent member, and an update list specifying an order in which the lines or points may be graphically modified such that an independent member of a relationship will be modified before the corresponding dependent member.

45. The system of claim 1 wherein the processor means comprises constraint satisfaction means for producing prealtered pattern data by satisfying the generic constraints through altering points and lines in the garment pattern data.

46. The system of claim 45 wherein the processor means further comprises measurement completion means for automatically deriving estimates for body measurements that are expected by the generic constraints but are missing from a particular set of standard or individual body measurements.

47. The system of claim 45 wherein:

the pattern storage means comprises coordinate data means for specifying coordinate data describing straight and curved lines, a line having a mathematically defined tangent at any point along the line; and

the constraint satisfaction means comprise tangent alteration means for altering the coordinate data of a line such that the tangent at one end of the line is changed while the tangent at the other end remains fixed.

48. The system of claim 47 wherein the tangent alteration means comprises:

coefficient generation means for generating coefficients of a cubic formula of the form y=ax³ +bx² +cx+d whose slope at the origin is equal to an amount by which the tangent at a first point that lies on the end of the line at which the tangent is to be changed and whose slope at a point a distance from the origin along the x-axis equal to the length of a line is 0; and

point shifting means for mapping the cubic formula along the length of the line and shifting each point in a direction perpendicular to the local tangent of the line a distance defined by the y-value of the cubic formula given an x-value equal to the distance along the line of the point to be shifted from the first point.

49. The system of claim 45 wherein the constraint satisfaction means further comprises:

scaling means to change the length of lines without changing their shape by coordinate scaling; and

translation means to move points and lines by coordinate translation.

50. The system of claim 45 wherein:

the pattern storage means comprises means for specifying a user'"'"'s individual body measurements comprising ease preference means for storing an indication of the user'"'"'s preference related to desired fit; and

the constraint satisfaction means comprises means for modifying the relationships between the body measurements and the landmarks and other garment features in accordance with the indication of the user'"'"'s preference.

51. The system of claim 45 wherein:

the generic constraint storage means comprises means for specifying an ease preference constraint that relates the body measurements to one or more physical dimensions of a garment taking into account user preference with regard to desired fit;

the pattern storage means comprises means for specifying a user'"'"'s individual body measurements comprising ease preference means for storing an indication of the user'"'"'s preference related to desired fit; and

the constraint satisfaction means comprises means for modifying the relationships between the body measurements and the landmarks and other garments features by relating the ease preference constraints to the indication of the user'"'"'s preference.

52. The system of claim 45 wherein the constraint satisfaction means comprises:

adjustment means for determining an adjustment that specifies how a physical dimension of a garment is to be changed based on the body measurements;

coupling means for applying the adjustment to garment pattern data in order to accomplish the change in physical dimension by altering the points and lines depicting the garment; and

redrawing means for restoring continuity to lines on which individual points have been moved as a result of applying the coupling means.

53. The system of claim 52 wherein the redrawing means comprises:

dart closing means for combining segments of a line that is intersected by a dart or pleat, the segments being combined by coordinate transformation for the purpose of redrawing the combined segments as a unit;

line redrawing means for restoring continuity to a line form by the combined segments; and

dart opening means for removing the effects of the coordinate transformation applied by the dart closing means after continuity is restored.

54. The system of claim 52 wherein:

the generic constraint storage means comprises reshape description means for specifying one or more reshape descriptions that define the desired shape of lines described by a feature description;

the constraint satisfaction means further comprises reshaping means for altering the coordinate data of a line in order to restore continuity to the line after a point on the line has been moved; and

the redrawing means comprises means for applying the reshaping means in accordance with a reshape description that specifies the desired shape of a line.

55. The system of claim 54 wherein the reshaping means comprises means for preserving the overall curvature profile of the line.

56. The system of claim 54 wherein the reshaping means comprises means for preserving the tangents of the original line at the endpoints and at the moved point.

57. The system of claim 54 wherein the reshaping means comprises means for reshaping the line by anisomorphic coordinate scaling.

58. The system of claim 45 wherein the constraint satisfaction means comprises means for changing the length of a dart without disturbing the length of a line intersected by the dart.

59. The system of claim 45 wherein the constraint satisfaction means comprises means for changing the width of a dart without disturbing the length of a dart or the length of a line intersected by the dart.

60. The system of claim 45 wherein:

the pattern storage means comprises means for specifying repositioning information relating a desired coordinate position of an alignment guide to the coordinate positions of particular points and lines; and

the constraint satisfaction means comprises alignment guide repositioning means for establishing a coordinate position for an alignment guide according to the stored repositioning information after alteration of the coordinate positions of the particular points and lines.

61. The system of claim 1 wherein:

the generic constraint storage means comprises means for specifying a grade description that describes how one or more physical dimensions of a garment vary from one size to the next; and

the processor means comprises measurement modification means for producing graded pattern data by modifying the physical dimensions of a garment through altering points and lines in the garment pattern data.

62. The system of claim 1 wherein the generic storage means comprises means for specifying a constraint that relates the body measurements to one or more physical dimensions of a garment taking into account user preference with regard to desired fit.

63. The system of claim 1 wherein the processor means further comprises repositioning information means for generating repositioning information related to a desired coordinate position of an alignment guide.

64. The system of claim 63 wherein repositioning information means comprises means for generating repositioning information specifying that the coordinate position of an alignment guide is to be on a line at a fixed distance from one of the points on the line.

65. The system of claim 63 wherein repositioning information means comprises means for generating repositioning information specifying that the coordinate position of an alignment guide is to be on a line at a distance from one of the points on the line, the distance being related to a percentage of the line length.

66. The system of claim 63 wherein repositioning information means comprises means for generaing repositioning information specifying that the coordinate position of an alignment guide is to be at a fixed distance and direction from a particular garment feature.

67. The system of claim 1 wherein the processor means further comprises repositioning means for producing prepared pattern data comprising repositioning information related to a desired coordinate position of an alignment guide.

68. The system of claim 67 wherein the repositioning means comprises means for producing repositioning information specifying that the coordinate position of an alignment guide is to be on a line at a fixed distance from one of the points on the line.

69. The system of claim 67 wherein the repositioning means comprises means for producing repositioning information specifying that the coordinate position of an alignment guide is to be on a line at a distance from one of the points on the line, the distance being related to a percentage of the line length.

70. The system of claim 67 wherein the repositioning means comprises means for producing repositioning information specifying that the coordinate position of an alignment guide is to be at a fixed distance and direction from a particular garment feature.

71. A computerized system related to prealtering garment pattern data based on standard or individual body measurements, the garment pattern data comprising points and lines, comprising:

pattern storage means for storing garment pattern data comprising points and lines depicting one or more garments;

garment knowledge storage means for storing specifying generic garment knowledge for each of a plurality of garment styles, comprising;

means for specifying feature descriptions comprising descriptions of landmarks and other garment features that are expected to be found in garments representative of a garment style; and

means for specifying generic constraints comprising at least one of algorithms and declarative structures for relating body measurements to changes in one or more of the landmarks and other garment features found in garments representative of the garment style; and

processor means for preparing garment pattern data for modification comprising;

means for selecting at least one garment style within the generic garment knowledge that applies to a garment in the garment pattern data;

means for identifying at least one particular part in the garment pattern data;

means for associating a part in the garment pattern data with one or more of the garments in the garment pattern data; and

means for indentifying one or more points or lines in the garment pattern data that correspond to a feature description within the selected generic garment knowledge.