Face and other object detection and tracking in off-center peripheral regions for nonlinear lens geometries
First Claim
Patent Images
1. Within an image acquisition system comprising a non-linear, wide-angled lens and an imaging sensor, a method of enhancing a scene containing one or more off-center peripheral regions, the method comprising:
- acquiring, using the non-linear, wide-angled lens and the imaging sensor, an initial distorted image with a large field of view;
determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said initial distorted image;
wherein the ROI includes a portion from said initial distorted image that has uncorrected distortion;
applying an initial object detection process to said off-center ROI that includes the portion from said initial distorted image having uncorrected distortion;
responsive to the initial object detection process successfully detecting an object within the off-center ROI;
applying geometric correction to remove distortion from the off-center ROI to produce a undistorted reconstructed ROI, without applying the geometric correction to said entire initial distorted image;
applying a second object detection process to one or more regions within the undistorted reconstructed ROI;
wherein the second object detection process is different than the initial object detection process.
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Abstract
A technique of enhancing a scene containing one or more off-center peripheral regions within an initial distorted image captured with a large field of view includes determining and extracting an off-center region of interest (hereinafter “ROI”) within the image. Geometric correction is applied to reconstruct the off-center ROI into a rectangular or otherwise undistorted or less distorted frame of reference as a reconstructed ROI.
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Citations
24 Claims
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1. Within an image acquisition system comprising a non-linear, wide-angled lens and an imaging sensor, a method of enhancing a scene containing one or more off-center peripheral regions, the method comprising:
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acquiring, using the non-linear, wide-angled lens and the imaging sensor, an initial distorted image with a large field of view; determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said initial distorted image;wherein the ROI includes a portion from said initial distorted image that has uncorrected distortion; applying an initial object detection process to said off-center ROI that includes the portion from said initial distorted image having uncorrected distortion; responsive to the initial object detection process successfully detecting an object within the off-center ROI; applying geometric correction to remove distortion from the off-center ROI to produce a undistorted reconstructed ROI, without applying the geometric correction to said entire initial distorted image; applying a second object detection process to one or more regions within the undistorted reconstructed ROI; wherein the second object detection process is different than the initial object detection process. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A digital image acquisition device, comprising:
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a non-linear, wide-angled lens and an imaging sensor configured to capture digital images of scenes containing one or more off-center peripheral regions, including an initial distorted image with a large field of view; a processor;
a memory having code embedded therein for programming the processor to perform a method of enhancing a scene containing one or more off-center peripheral regions, wherein the method comprises;acquiring, using the non-linear, wide-angled lens and the imaging sensor, an initial distorted image with a large field of view; determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said initial distorted image;wherein the ROI includes a portion from said initial distorted image that has uncorrected distortion; applying an initial object detection process to said off-center ROI that includes the portion from said initial distorted image having uncorrected distortion responsive to the initial object detection process successfully detecting an object within the off-center ROI; applying geometric correction to remove distortion from the off-center ROI to produce a undistorted reconstructed ROI, without applying the geometric correction to said entire initial distorted image; applying a second object detection process to one or more regions within the undistorted reconstructed ROI; wherein the second object detection process is different than the initial object detection process. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. One or more non-transitory, processor-readable storage media having code embedded therein for programming a processor to perform a method of enhancing a scene captured with a non-linear, wide-angled lens and containing one or more off-center peripheral regions, wherein the method comprises:
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determining and extracting an off-center region of interest (hereinafter “
ROI”
) within an initial distorted image;wherein the ROI includes a portion from said initial distorted image that has uncorrected distortion; applying an initial object detection process to said off-center ROI that includes the portion from said initial distorted image having uncorrected distortion; responsive to the initial object detection process successfully detecting an object within the off-center ROI; applying geometric correction to remove distortion from the off-center ROI to produce a undistorted reconstructed ROI, without applying the geometric correction to said entire initial distorted image; applying a second object detection process to one or more regions within the undistorted reconstructed ROI; wherein the second object detection process is different than the initial object detection process. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification