System and method for perceived image processing in a gaze tracking system
First Claim
1. A system for measuring and modifying at least one model parameter of an object of an image in order to distinguish the object from noise in the image, comprising:
- a perceived image generator, wherein the perceived image generator produces a first perceived image of the object based on the at least one model parameter;
an image-match function, wherein the image-match function compares the first perceived image with a real image of the object; and
a parameter adjustment function, wherein the parameter adjustment function adjusts the at least one model parameter so that the perceived image generator produces a second perceived image of the object that more closely matches the real image than the first perceived image.
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Abstract
An embodiment of the present invention provide a system for measuring and modifying at least one model parameter of an object of an image in order to distinguish the object from noise in the image includes a perceived image generator, an image-match function, and a parameter adjustment function. The perceived image generator produces a first perceived image of the object based on the at least one model parameter. The image-match function compares the first perceived image with a real image of the object. The parameter adjustment function adjusts the at least one model parameter so that the perceived image generator produces a second perceived image of the object that more closely matches the real image than the first perceived image.
17 Citations
2 Claims
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1. A system for measuring and modifying at least one model parameter of an object of an image in order to distinguish the object from noise in the image, comprising:
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a perceived image generator, wherein the perceived image generator produces a first perceived image of the object based on the at least one model parameter;
an image-match function, wherein the image-match function compares the first perceived image with a real image of the object; and
a parameter adjustment function, wherein the parameter adjustment function adjusts the at least one model parameter so that the perceived image generator produces a second perceived image of the object that more closely matches the real image than the first perceived image.
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2. A method for measuring and modifying at least one model parameter of an object of an image in order to distinguish the object from noise in the image, comprising:
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producing a first perceived image of the object based on the at least one model parameter;
comparing the first perceived image with a real image of the object; and
adjusting the at least one model parameter so that the perceived image generator produces a second perceived image of the object that more closely matches the real image than the first perceived image.
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Specification