Object class identification, verification of object image synthesis
AssigneeThe Victoria University of Manchester
InventorsChristopher John Taylor, Timothy Francis Cootes, Gareth Edwards
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AssigneeThe Victoria University of Manchester
InventorsChristopher John Taylor, Timothy Francis Cootes, Gareth Edwards
Estimating the term…
A method of identifying an object class uses a model based upon appearance parameters derived by comparing images of objects of different classes. The model includes a representation of a probability density function describing a range over which appearance parameters may vary for a given class of object, the model further including a defined relationship between the appearance parameters and the probability density function. The method generates appearance parameters representative of an unknown object, estimates an appropriate probability density function for the unknown object using the defined relationship between the appearance parameters and the probability density function, then iteratively modifies at least some of the appearance parameters within limits determined using the probability density function to identify the object class.
A method of identifying an object class using a model based upon appearance parameters derived by comparing images of objects of different classes, the model including a representation of a probability density function describing a range over which appearance parameters may vary for a given class of object, the model further including a defined relationship between the shape of the probability density function and the location of the probability density function in appearance space, wherein the method comprises:
A method of verifying the identity of an object class using a model based upon appearance parameters derived by comparing images of objects of different classes, the model including a representation of a probability density function describing the variation of appearance parameters for a given class of object, the model function including a defined relationship between the shape of the probability density function and the location of the probability density function in appearance space, wherein for an object class for which verification will subsequently be required, the method comprises:
A method of generating a synthesized image of an object class using a model based upon appearance parameters derived by comparing images of objects of different classes, the model including a representation of a probability density function describing the variation of appearance parameters for a given class of object, the model further including a defined relationship between the shape of the probability density function and the location of the probability density function in appearance space, wherein for an object class to be synthesized, the method comprises:
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