Method of performing shape localization
First Claim
Patent Images
1. A method for performing shape localization in an image, comprising:
- deriving a model shape from a database of a plurality of sample shapes, said model shape being defined by a set of landmarks;
deriving a texture likelihood model of present sub-patches of said set of landmarks defining said model shape in the image; and
proposing a new set of landmarks that approximates a true location of features of the shape based on a sample proposal model of said present sub-patches;
wherein said deriving said texture likelihood model and said proposing said new set of landmarks are conducted using a CONDENSATION algorithm.
1 Assignment
0 Petitions
Accused Products
Abstract
A method for performing shape localization in an image includes deriving a model shape from a database of a plurality of sample shapes. The model shape is defined by a set of landmarks. The method further includes deriving a texture likelihood model of present sub-patches of the set of landmarks defining the model shape in the image, and proposing a new set of landmarks that approximates a true location of features of the shape based on a sample proposal model of the present sub-patches. A CONDENSATION algorithm is used to derive the texture likelihood model and the proposed new set of landmarks.
-
Citations
27 Claims
-
1. A method for performing shape localization in an image, comprising:
-
deriving a model shape from a database of a plurality of sample shapes, said model shape being defined by a set of landmarks;
deriving a texture likelihood model of present sub-patches of said set of landmarks defining said model shape in the image; and
proposing a new set of landmarks that approximates a true location of features of the shape based on a sample proposal model of said present sub-patches;
wherein said deriving said texture likelihood model and said proposing said new set of landmarks are conducted using a CONDENSATION algorithm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
17. Method for performing a face localization in an image based on a Bayesian rule, comprising:
-
deriving a predefined face shape model m;
employing conditional density propagation (CONDENSATION) algorithm to locate a face shape in the image using a prior probabilistic distribution of a model p(m) based on said predefined face shape model m, and a local texture likelihood distribution given said predefined face shape model with specific model parameters p(I|m). - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
-
Specification