Face and other object 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 an initial distorted image with a large field of view, including using a non-linear, wide-angled lens and imaging sensor;
determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said image;
applying geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI;
determining a quality of reconstructed pixels within said first reconstructed ROI;
applying object tracking to one or more regions within the first reconstructed ROI respectively adapted to one or more local reconstructed pixel qualities within the one or more regions;
determining if undetected objects below a predetermined size threshold are likely to exist in one or more reduced quality regions of the first reconstructed ROI;
responsive to said determining if undetected objects exist, acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with reduced quality pixels of said first reconstructed ROI to provide one or more enhanced ROIs;
performing a further action based on a value of a parameter of an object within the one or more enhanced ROIs.
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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 an initial distorted image with a large field of view, including using a non-linear, wide-angled lens and imaging sensor; determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said image;applying geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining a quality of reconstructed pixels within said first reconstructed ROI; applying object tracking to one or more regions within the first reconstructed ROI respectively adapted to one or more local reconstructed pixel qualities within the one or more regions; determining if undetected objects below a predetermined size threshold are likely to exist in one or more reduced quality regions of the first reconstructed ROI; responsive to said determining if undetected objects exist, acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with reduced quality pixels of said first reconstructed ROI to provide one or more enhanced ROIs; performing a further action based on a value of a parameter of an object within the one or more enhanced ROIs. - 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 an initial distorted image with a large field of view, including using a non-linear, wide-angled lens and imaging sensor; determining and extracting an off-center region of interest (hereinafter “
ROI”
) within said image;applying geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining a quality of reconstructed pixels within said first reconstructed ROI; applying object tracking to one or more regions within the first reconstructed ROI respectively adapted to one or more local reconstructed pixel qualities within the one or more regions; determining if undetected objects below a predetermined size threshold are likely to exist in one or more reduced quality regions of the first reconstructed ROI; responsive to said determining if undetected objects exist, acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with reduced quality pixels of said first reconstructed ROI to provide one or more enhanced ROIs; performing a further action based on a value of a parameter of an object within the one or more enhanced ROIs. - 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 acquired image;applying geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining a quality of reconstructed pixels within said first reconstructed ROI; applying object tracking to one or more regions within the first reconstructed ROI respectively adapted to one or more local reconstructed pixel qualities within the one or more regions; determining if undetected objects below a predetermined size threshold are likely to exist in one or more reduced quality regions of the first reconstructed ROI; responsive to said determining if undetected objects exist, acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with reduced quality pixels of said first reconstructed ROI to provide one or more enhanced ROIs; performing a further action based on a value of a parameter of an object within the one or more enhanced ROIs. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification