System and Method for Generating Editable Constraints for Image-based Models

• US 20130124148A1
• Filed: 08/06/2010
• Published: 05/16/2013
• Est. Priority Date: 08/21/2009
• Status: Abandoned Application

• Current Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Jin, Hailin, Smith, Brandon M.
• Application Number:
  US12/852,349
• Publication Number:
  US 20130124148A1
• Time in Patent Office: Days
• US Class Current: 703/1
• CPC Class Codes: G06F 2111/04 Constraint-based CAD
• CPC Class Codes: G06F 30/17 Mechanical parametric or variational design
• CPC Class Codes: G06T 17/00 Three dimensional [3D] modelling, e.g. data description of 3D objects
• CPC Class Codes: G06T 2200/08 involving all processing steps from image acquisition to 3D model generation
• CPC Class Codes: G06T 7/55 from multiple images

Abstract

An image-based 3D model of an object may be generated from multiple images of the object captured from different viewpoints. 3D constraints which define the shape of the model may be generated from image data and camera parameters (intrinsic and extrinsic) of the images and from user-specified constraints. A user may specify constraints by outlining, on images of the object, features which define the shape of an object. An approximation of the object'"'"'s 3D surface may be generated from depth maps computed from the images. The 3D constraints and surface approximation may be converted into a polygonal mesh representation, from which a visual display of the model may be reconstructed. The model may be displayed with a set of editable constraints which a user may manipulate to change the shape of the 3D model. The model may be stored as, and reconstructed from, the set of 3D constraints.

Claims

1. A method, comprising:

receiving a plurality of two-dimensional (2D) images of an object from different viewpoints of the object;

receiving input on a display in a user of one or more of the 2D images specifying one or more shape constraints for the object before generating a three dimensional (3D) model of the object, one or more shape constraints specifying a shape of the object;

generating the 3D model of the object dependent on the plurality of images and the one or more specified shape constraints; and

generating a plurality of editable constraints for the 3D model in which at least one of the plurality of editable constraints is dependent on the one or more specified shape constraints and one or more of the plurality of editable constraints are generated that are not dependent on the one or more specified shape constraints, each of the plurality of editable constraints is manipulable by a user via the use interface to change the shape of the object.

2. The method of claim 1, wherein said receiving input comprises receiving user input via a user interface, wherein the user input outlines shape features of the object on a display of one or more of the plurality of images of the object to indicate the one or more specified shape constraints.

3. The method of claim 1, further comprising:

extracting a plurality of image-based constraints from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the plurality of image-based constraints; and

wherein said extracting comprises;

analyzing image data for each one of the plurality of images to identify regions of interest within each image;

locating digital images which include similar regions of interest;

determining, from the camera parameters of the located digital images, 3D surface information for each identified region of interest; and

generating the image-based constraints from the 3D surface information.

4. The method of claim 1, further comprising:

creating an approximation of a 3D surface of the object from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the approximation of the 3D surface; and

wherein said creating comprises;

generating a plurality of depth maps, wherein for each respective one of the plurality of images, a depth map is generated dependent on image data and camera parameters for the respective one of the plurality of images; and

merging the plurality of depth maps to generate the approximation of the 3D surface of the object, wherein the plurality of depth maps are merged to create a first tessellated mesh, and wherein the first tessellated mesh represents the approximation of the 3D surface of the object.

5. The method of claim 3, wherein

said generating the 3D model of the object comprises generating a second tessellated mesh which represents the surface of the 3D model, wherein the second tessellated mesh is generated according to constraint values indicated for a plurality of positions for the image-based constraints and for the specified shape constraints and vertex constraint values indicated for a plurality of vertices of the first tessellated mesh.

6. The method of claim 1, wherein the specified shape constraints for the object are 2D shape constraints and wherein said generating a plurality of editable constraints for the 3D model comprises:

converting the 2D shape constraints into 3D shape constraints; and

converting the 3D shape constraints into Bezier curves.

7. The method of claim 1, further comprising:

presenting a visual display of the 3D model of the object;

presenting, as part of the visual display of the 3D model of the object, the plurality of editable constraints as a plurality of handles for modifying the shape of the 3D model;

receiving user input which manipulates one or more of the plurality of editable constraints, wherein the manipulation of the one or more of the plurality of editable constraints indicates one or more modifications to the shape of the 3D model; and

storing a description of the editable constraints as a representation of the 3D model, without saving a connected mesh representation of the 3D model.

8. A system, comprising:

a memory; and

one or more processors coupled to the memory, wherein the memory comprises program instructions executable by the one or more processors to implement a constraint generation module configured to;

receive a plurality of two-dimensional (2D) images of an object from different viewpoints of the object;

receive input on a display in a user interface of one or more of the 2D images specifying one or more shape constraints for the object before generating a three dimensional (3D) model of the object, the one or more shape constraints specifying a shape of the object;

generate the 3D model of the object dependent on the plurality of images and the one or more specified shape constraints; and

generate one or more editable constraints for the 3D model that are not dependent on the one or more specified shape constraints; and

generate at least one editable constraint for the 3D model that is dependent on the one or more specified shape constraints.

9. The system of claim 8, wherein said receiving input comprises receiving user input via a user interface, wherein the user input outlines shape features of the object on a display of one or more of the plurality of images of the object to indicate the one or more specified shape constraints.

10. The system of claim 8, wherein the constraint generation module is further configured to generate the one or more editable constraints that are not dependent on the one or more specified shape constraints by:

extracting a plurality of image-based constraints from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the plurality of image-based constraints; and

wherein said extracting comprises;

analyzing image data for each one of the plurality of images to identify regions of interest within each image;

locating digital images which include similar regions of interest;

determining, from the camera parameters of the located digital images, 3D surface information for each identified region of interest; and

generating the image-based constraints from the 3D surface information.

11. The system of claim 8, wherein the constraint generation module is further configured to:

create an approximation of a 3D surface of the object from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the approximation of the 3D surface;

and

wherein said creating comprises;

generating a plurality of depth maps, wherein for each respective one of the plurality of images, a depth map is generated dependent on image data and camera parameters for the respective one of the plurality of images; and

merging the plurality of depth maps to generate the approximation of the 3D surface of the object, wherein the plurality of depth maps are merged to create a first tessellated mesh, and wherein the first tessellated mesh represents the approximation of the 3D surface of the object.

12. The system of claim 10, wherein

said generating the 3D model of the object comprises generating a second tessellated mesh which represents the surface of the 3D model, wherein the second tessellated mesh is generated according to constraint values indicated for a plurality of positions for the image-based constraints and the specified shape constraints and vertex constraint values indicated for a plurality of vertices of the first tessellated mesh.

13. The system of claim 8, wherein the specified shape constraints for the object are 2D shape constraints and wherein said generating a plurality of editable constraints for the 3D model comprises:

converting the 2D shape constraints to 3D shape constraints; and

converting the 3D shape constraints to Bezier curves.

14. The system of claim 8, wherein the constraint generation module is further configured to:

present a visual display of the 3D model of the object;

present, as part of the visual display of the 3D model of the object, the one or more editable constraints and the at least one editable constraint as a plurality of handles for modifying the shape of the 3D model;

receive user input which manipulates one or more of the plurality of editable constraints, wherein the manipulation of the one or more said editable constraints indicates one or more modifications to the shape of the 3D model; and

store a description of the editable constraints as a representation of the 3D model, without saving a connected mesh representation of the 3D model.

15. A computer-readable storage medium, which is not a propagating transitory signal, storing program instructions executable on a computer to implement a constraint generation module configured to:

receive a plurality of two-dimensional (2D) images of an object from different viewpoints of the object;

receive input on a display of a user interface having one or more of the 2D images specifying one or more shape constraints that specify a shape of a portion of a boundary for the object before generating a three dimensional (3D) model of the object;

generate the 3D model as a mesh of feature points of the object dependent on the plurality of images and the one or more specified shape constraints; and

generate a plurality of editable constraints as corresponding to one or more of the feature points of the 3D model dependent on the one or more specified shape constraints that are manipulable by a user via the user interface to change the shape of the object, in which the feature points that do no correspond to the editable constraints are not manipulable to change the shape of the object.

16. The computer-readable storage medium of claim 15, wherein said receiving input comprises receiving user input via a user interface, wherein the user input outlines shape features of the object on a display of one or more of the plurality of images of the object to indicate the one or more specified shape constraints.

17. The computer-readable storage medium of claim 15, wherein the constraint generation module is further configured to:

extract a plurality of image-based constraints from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the plurality of image-based constraints; and

wherein said extracting comprises;

analyzing image data for each one of the plurality of images to identify regions of interest within each image;

locating digital images which include similar regions of interest;

determining, from the camera parameters of the located digital images, 3D surface information for each identified region of interest; and

generating the image-based constraints from the 3D surface information.

18. The computer-readable storage medium of claim 17, wherein the constraint generation module is further configured to:

create an approximation of a 3D surface of the object from image data and camera parameters for the plurality of images, wherein said generating the 3D model of the object is dependent on the approximation of the 3D surface; and

wherein said creating comprises;

generate a plurality of depth maps, wherein for each respective one of the plurality of images, a depth map is generated dependent on image data and camera parameters for the respective one of the plurality of images; and

merging the plurality of depth maps to generate the approximation of the 3D surface of the object, wherein the plurality of depth maps are merged to create a first tessellated mesh, and wherein the first tessellated mesh represents the approximation of the 3D surface of the object.

19. The computer-readable storage medium of claim 18, wherein

said generating a 3D model of the object comprises generating a second tessellated mesh which represents the surface of the 3D model, wherein the second tessellated mesh is generated according to constraint values indicated for a plurality of positions for the image-based constraints and for the specified shape constraints and vertex constraint values indicated for a plurality of vertices of the first tessellated mesh.

20. The computer-readable storage medium of claim 15, wherein the constraint generation module is further configured to:

present a visual display of the 3D model of the object;

present, as part of the visual display of the 3D model of the object, the plurality of editable constraints as a plurality of handles for modifying the shape of the 3D model;

receive user input which manipulates one or more of the plurality of editable constraints, wherein the manipulation of the one or more of the plurality of editable constraints indicates modifications to the shape of the 3D model; and

store a description of the editable constraints as a representation of the 3D model, without saving a connected mesh representation of the 3D model.