Spatio-temporal confidence maps

US9269153B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9269153-B2
Application numberUS-201314057917-A
CountryUS
Kind codeB2
Filing dateOct 18, 2013
Priority dateOct 18, 2012
Publication dateFeb 23, 2016
Grant dateFeb 23, 2016

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Abstract

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A method and an apparatus for generating a confidence map for a disparity map associated to a set of two or more images are described. Motion between at least two subsequent sets of two or more images is determined. Based on the determined motion information static and dynamic regions in the images of the sets of two or more images are detected and separated. A disparity change between a disparity value determined for a static region of a current image and a motion compensated disparity value of a previous image is determined. The result of the determination is taken into account for generating or refining a confidence map.

First claim

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The invention claimed is: 1. A method for generating a confidence map for a disparity map associated to a sequence of sets of two or more images, the method comprising: determining motion between at least two subsequent sets of two or more images; detecting and separating static and dynamic regions in the images of the sets of two or more images based on the determined motion information; determining a disparity value for a static region in a current image; determining a motion compensated disparity value for said static region in a previous image; determining a disparity change between the disparity value and the motion compensated disparity value; and generating or refining a confidence map by increasing a confidence value for said static region if the determined disparity change is below a threshold or by applying a filter to confidence values of the confidence map, wherein output confidence values of the filter are controller by input confidence values and the determined disparity change. 2. The method according to claim 1 , wherein the motion between at least two subsequent sets of two or more images is described by optical flow maps. 3. The method according to claim 1 , wherein the filter primarily modifies those confidence values whose figures are located in a central range of a value range of the confidence values. 4. The method according to claim 1 , wherein the filter modifies all confidence values equally without preference. 5. An apparatus for generating a confidence map for a disparity map associated to a sequence of sets of two or more images, comprising: a processor and an associated memory configured to: determine motion between at least two subsequent sets of two or more images; detect and separate static and dynamic regions in the images of the sets of two or more images based on the determined motion information; determine a disparity value for a static region in a current image; determine a motion compensated disparity value for said static region in a previous image; determine a disparity change between the disparity value and the motion compensated disparity value; and generate or refine a confidence map by increasing a confidence value for said static region if the determined disparity change is below a threshold or by applying a filter to confidence values of the confidence map, wherein output confidence values of the filter are controller by input confidence values and the determined disparity change. 6. The apparatus according to claim 5 , wherein the motion between at least two subsequent sets of two or more images is described by optical flow maps. 7. The apparatus according to claim 5 , wherein the filter is adapted to primarily modify those confidence values whose figures are located in a central range of a value range of the confidence values. 8. The apparatus according to claim 5 , wherein the filter is adapted to modify all confidence values equally without preference.

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What does patent US9269153B2 cover?
A method and an apparatus for generating a confidence map for a disparity map associated to a set of two or more images are described. Motion between at least two subsequent sets of two or more images is determined. Based on the determined motion information static and dynamic regions in the images of the sets of two or more images are detected and separated. A disparity change between a dispar…
Who is the assignee on this patent?
Thomson Licensing
What technology area does this patent fall under?
Primary CPC classification G06T7/0075. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 23 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).