Method for generating geometric models for optical partial recognition
First Claim
1. A method for automatically generating an object descriptive model, wherein:
- a selection of image signal information is recorded in an object descriptive group having object descriptive shape features, and similarity criteria yield a decision whether an object descriptive feature is assigned to the group, and a selectable threshold yields a decision whether the group becomes a part of the recognition model, and at least strong groups are used for a model for a partial recognition of an object, strength being determined by the number of the group features, and after a first model has been generated, additional images are recorded, wherein new object descriptive features are obtained by subjecting the new features to a similarity determination, and sufficiently similar new features are added to existing groups in completing the groups.
1 Assignment
0 Petitions
Accused Products
Abstract
Groups of form features can be, e.g., the properties of a picture object. By adding other form features exhibiting similarity with existing group form features, these groups of form features can be completed using a control with selectable threshold values and using additional information, in turn according to modified circumstances of the object. This enables a class of objects which are to be recognized to be represented in an approximative manner. The model thus produced can be used in a first step (A) for an optical partial recognition. In a second step (B), the features of the object recognized by the partial recognition can lead to enlargement and completion of the model. It is thereby no longer necessary for a specialist to have interactive control of the recognition system, and models exhibiting a high degree of representativity can be produced.
-
Citations
12 Claims
-
1. A method for automatically generating an object descriptive model, wherein:
-
a selection of image signal information is recorded in an object descriptive group having object descriptive shape features, and similarity criteria yield a decision whether an object descriptive feature is assigned to the group, and a selectable threshold yields a decision whether the group becomes a part of the recognition model, and at least strong groups are used for a model for a partial recognition of an object, strength being determined by the number of the group features, and after a first model has been generated, additional images are recorded, wherein new object descriptive features are obtained by subjecting the new features to a similarity determination, and sufficiently similar new features are added to existing groups in completing the groups. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
Specification