Motion estimation for compression of calibrated multi-view image sequences
First Claim
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1. A method for estimating motion of each of a plurality of tessels in an intermediate image relative to a reference image, the method comprising:
- searching the reference image to find points that lie along epipolar lines in the reference image corresponding to upper-left and lower-right vertices of the tessel, respectively, that result in a best-matching shape, wherein the intermediate image and the reference image are calibrated multiple view images of a static scene captured from different angles and related by known geometry;
estimating a depth of each of at least two of the vertices of the tessel, wherein the depth is a distance from a point on an object in the scene to the center of a camera; and
using the depth estimates of the at least two vertices of the tessel to estimate the motion of the tessel relative to the best-matching shape.
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Abstract
A method for estimating motion of each of a plurality of tessels in an intermediate image relative to a reference image, which includes searching the reference image to find points that lie along epipolar lines in the reference image corresponding to upper-left and lower-right vertices of the tessel, respectively, that result in a best-matching shape; estimating a depth of each of at least two of the vertices of the tessel; and using the depth estimates of the at least two vertices of the tessel to estimate the motion of the tessel relative to the best-matching shape.
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Citations
27 Claims
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1. A method for estimating motion of each of a plurality of tessels in an intermediate image relative to a reference image, the method comprising:
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searching the reference image to find points that lie along epipolar lines in the reference image corresponding to upper-left and lower-right vertices of the tessel, respectively, that result in a best-matching shape, wherein the intermediate image and the reference image are calibrated multiple view images of a static scene captured from different angles and related by known geometry; estimating a depth of each of at least two of the vertices of the tessel, wherein the depth is a distance from a point on an object in the scene to the center of a camera; and using the depth estimates of the at least two vertices of the tessel to estimate the motion of the tessel relative to the best-matching shape. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. Apparatus for estimating the motion of an intermediate image of a calibrated multi-view image sequence comprised of a plurality of images of an object captured by a camera, wherein each successive image is separated from the previous image by an angle of rotation θ
- , the apparatus comprising a processor and a computer readable medium storing a computer program executed by the processor to estimate motion of each of a plurality of tessels in the intermediate image relative to the reference image, the computer program comprising instructions for;
searching the reference image to find points that lie along epipolar lines in the reference image corresponding to upper-left and lower-right vertices of the tessel, respectively that result in a best-matching shape; estimating a depth of each of at least two of the vertices of the tessel, wherein the depth is a distance from a point on the object to the center of the camera; and using the depth estimates of the at least two vertices of the tessel to estimate the motion of the tessel relative to the best-matching shape. - View Dependent Claims (22, 23, 24, 25, 26)
- , the apparatus comprising a processor and a computer readable medium storing a computer program executed by the processor to estimate motion of each of a plurality of tessels in the intermediate image relative to the reference image, the computer program comprising instructions for;
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27. A device for estimating the motion of an intermediate image of a calibrated multi-view image sequence comprised of a plurality of images of an object captured by a camera(s), wherein each successive image is separated from the previous image by an angle of rotation θ
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means for selecting at least one of the images as a reference image(s); means for tessellating the intermediate image into a plurality of tessels each having at least two vertices; and means for estimating motion of each of the plurality of tessels in the intermediate image relative to the reference images(s) by; searching the reference image(s) to find points that lie along epipolar line(s) or line segment(s) in the reference image(s) corresponding to the upper-left and lower-right vertices of the tessel, respectively, that is result in a best-matching shape(s); estimating a depth of each of at least two of the vertices of the tessel, wherein the depth is a distance from a point on the object to the center of the camera(s); and
using the depth estimates of the at least two vertices of the tessel to estimate the motion of the tessel relative to the best-matching shape(s).
- , the device comprising;
Specification