System and method for image attribute recording an analysis for biometric applications
First Claim
1. A method using a processor on a computer device for increasing the accuracy of recognition of an object within an image, comprising:
- including a single target device that is calibrated to predetermined properties within the image prior to capturing the image;
wherein the image is a digital image and wherein the target device is illuminated with a light source;
wherein the target device is placed at any location within a field of vision of a camera capturing the image;
determining lighting attributes associated with the target device directly from the digital image;
wherein the lighting attributes determined comprise a light direction, a light diffusion, and a light ambiance;
associating the lighting attributes of the target device with the object such that lighting attributes applied to the object are determined;
generating a contour mapping of the object using light reflected from the object adjusted for lighting conditions determined from the lighting attributes of the target device;
wherein the target device is located at a position that is different from a position of the object such that the contour mapping of the object is generated in response to lighting attributes associated with a different object;
wherein the position of the target device and the position of the object are not coincident; and
associating the contour mapping with the image, such that the contour mapping uniquely identifies the object within the image.
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Accused Products
Abstract
A system for recording and analyzing lighting attributes associated with a calibrated target device captured within an image to provide for enhanced object recognition within the captured image. A target device is used to provide lighting information relative to a subject within the image. The attributes allow the lighting conditions at the time of the image capture to be reconstructed. In addition, two or more target devices may be use to triangulate the position of a light source to any point within the captured image. Further, the lighting attributes may be used to create a contour mapping of the subject captured within the image.
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Citations
20 Claims
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1. A method using a processor on a computer device for increasing the accuracy of recognition of an object within an image, comprising:
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including a single target device that is calibrated to predetermined properties within the image prior to capturing the image;
wherein the image is a digital image and wherein the target device is illuminated with a light source;
wherein the target device is placed at any location within a field of vision of a camera capturing the image;determining lighting attributes associated with the target device directly from the digital image;
wherein the lighting attributes determined comprise a light direction, a light diffusion, and a light ambiance;associating the lighting attributes of the target device with the object such that lighting attributes applied to the object are determined; generating a contour mapping of the object using light reflected from the object adjusted for lighting conditions determined from the lighting attributes of the target device;
wherein the target device is located at a position that is different from a position of the object such that the contour mapping of the object is generated in response to lighting attributes associated with a different object;
wherein the position of the target device and the position of the object are not coincident; andassociating the contour mapping with the image, such that the contour mapping uniquely identifies the object within the image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18)
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13. A computer-readable storage medium comprising:
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a data structure including; data stored in an image region that includes digital information defining an image including a target device and an object;
wherein the image is a digital image containing pixels;
wherein the target device is placed at any location within a field of vision of a camera before capturing the image; andan index region that includes lighting attribute information and a contour mapping of the object, wherein the lighting attribute information describes lighting attributes of the target device in the image and the contour mapping uniquely identifies the object within the image and is generated using light reflected from the object adjusted for lighting conditions determined from the lighting attributes of the target device;
wherein the target device is different from the object such that the contour mapping of the object is generated in response to lighting attributes associated with a different object; andinstructions that when executed by a processor store the contour mapping of the object. - View Dependent Claims (14, 15, 16, 17)
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19. A system for increasing the accuracy of recognition of an object within an image, comprising:
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means for determining lighting attributes associated with a single target device that is calibrated to predetermined properties and included within the image prior to capturing the image;
wherein the image is a digital image and the target device is illuminated by a light source;
wherein the lighting attributes are determined directly from the digital image;means for associating the lighting attributes of the target device with the object; means for generating a contour mapping of the object according using light reflected from the object adjusted for lighting conditions determined from the lighting attributes of the target device;
wherein the target device is different from the object such that the contour mapping of the object is generated in response to lighting attributes associated with a different object; andmeans for associating the contour mapping with the image, such that the contour mapping uniquely identifies the object within the image. - View Dependent Claims (20)
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Specification