Apparatus and method for generating shape model of object and apparatus and method for automatically searching for feature points of object employing the same
First Claim
1. An apparatus for searching for feature points of an object, comprising:
- a shape model generation unit which generates a shape model including a mean model of an object, and statistical feature data of each feature point forming a mean shape, by training a plurality of training sets in which a plurality of feature points are labeled for the object;
an initial position resetting unit which resets an initial position of each feature point of the mean shape according to a pose of an input image; and
a feature point extraction unit which adapts to the input image the mean shape whose initial position is reset, using the statistical feature data of each feature point of the mean shape, and extracts feature points of the input image.
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Abstract
An apparatus and method for generating a shape model of an object and an apparatus and method for automatically searching for feature points of an object employing the same. The apparatus for automatically searching for feature points of an object includes: a shape model generation unit which generates a shape model including a mean model of an object, and statistical feature data of each feature point forming a mean shape, by training a plurality of training sets in which a plurality of feature points are labeled for the object; an initial position resetting unit which resets an initial position of each feature point of the mean shape according to a pose of an input image; and a feature point extraction unit which adapts the mean shape whose initial position is reset, to the input image, by using the statistical feature data of each feature point of the mean shape, and extracts feature points of the input image.
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Citations
19 Claims
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1. An apparatus for searching for feature points of an object, comprising:
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a shape model generation unit which generates a shape model including a mean model of an object, and statistical feature data of each feature point forming a mean shape, by training a plurality of training sets in which a plurality of feature points are labeled for the object; an initial position resetting unit which resets an initial position of each feature point of the mean shape according to a pose of an input image; and a feature point extraction unit which adapts to the input image the mean shape whose initial position is reset, using the statistical feature data of each feature point of the mean shape, and extracts feature points of the input image. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of searching for feature points of an object, comprising:
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generating a shape model including a mean model of an object, and statistical feature data of each feature point forming a mean shape, by training a plurality of training sets in which a plurality of feature points are labeled for the object; resetting an initial position of each feature point of the mean shape according to a pose of an input image; and adapting to the input image the mean shape whose initial position is reset, using the statistical feature data of each feature point of the mean shape, and extracting feature points of the input image, wherein at least one of the generating, the resetting, the adapting, and the extracting is performed by using at least one processing device. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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14. A computer readable recording medium having embodied thereon a computer program for executing a method of searching for feature points of an object, the method comprising:
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generating a shape model including a mean model of an object, and statistical feature data of each feature point forming a mean shape, by training a plurality of training sets in which a plurality of feature points are labeled for the object; resetting an initial position of each feature point of the mean shape according to the pose of an input image; and adapting to the input image the mean shape whose initial position is reset, using the statistical feature data of each feature point of the mean shape, and extracting feature points of the input image.
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15. An apparatus for generating a shape model of an object, comprising:
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a training database which stores a plurality of training sets in which a plurality of feature points are labeled for an object; a mean shape generation unit which generates a mean shape of the plurality of training sets; and a statistical feature data generation unit which generates statistical feature data representing an image structure in a vicinity of a feature point, by applying a 2-dimensional main template to each feature point forming the mean shape, so as to generate the shape model in combination with the mean shape. - View Dependent Claims (16)
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17. A method of generating a shape model of an object, comprising:
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providing a training database which stores a plurality of training sets in which a plurality of feature points are labeled for an object; generating a mean shape of the plurality of training sets; and generating statistical feature data representing an image structure in a vicinity of a feature point, by applying a 2-dimensional main template to each feature point forming the mean shape, so as to generate the shape model in combination with the mean shape, wherein at least one of the providing of the training database, generating the mean shape, and generating the statistical feature data is performed by using at least one processing device. - View Dependent Claims (18)
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19. A computer readable recording medium having embodied thereon a computer program for executing a method of generating a shape model of an object, wherein the method comprises:
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providing a training database which stores a plurality of training sets in which a plurality of feature points are labeled for an object; generating a mean shape of the plurality of training sets; and generating statistical feature data representing an image structure in a vicinity of a feature point, by applying a 2-dimensional main template of each feature point of the mean shape, so as to generate the shape model in combination with the mean shape.
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Specification