Thomson Licensing

Thomson Licensing S.a.

Interdigital Ce Patent Holdings, Sas

Wolfram Putzke-Roeming

Dirk Gandolph

Andrej Schewzow

Joern Jachalsky

Ralf Ostermann

Markus Schlosser

Thierry Borel

A particular implementation accesses a disparity value for a particular location in a picture, the disparity value indicating disparity with respect to a particular resolution. The particular implementation modifies the accessed disparity value based on multiple resolutions to produce a modified disparity value. Another implementation accesses a disparity value for a particular location in a picture, the picture having a particular resolution, and the disparity value indicating disparity with respect to another resolution that is different from the particular resolution and that is based on multiple resolutions. A further implementation modifies the accessed disparity value to produce a modified disparity value indicating disparity with respect to the particular resolution.

3D disparity maps

A method and an apparatus for generating a superpixel cluster for an image or a sequence of images. A primary clustering unit generates a primary superpixel cluster using a fixed reference superpixel, whereas a secondary clustering unit generates two or more secondary superpixel clusters using a propagating reference superpixel. A combining unit then combines intersections between the primary superpixel cluster and the two or more secondary superpixel clusters to generate a final superpixel cluster.

Method and apparatus for generating superpixel clusters

Method and apparatus for generating superpixel clusters A method and an apparatus () for generating a superpixel cluster for an image are described. A clustering unit () generates () an initial superpixel cluster based on an initial cluster center. The clustering unit () further generates () one or more further superpixel clusters based on one or more further cluster centers. A determining unit () determines () the one or more further cluster centers from the initial superpixel cluster. A merger () then merges () the initial superpixel cluster and the one or more further superpixel clusters to obtain the superpixel cluster for the image.

A method and an apparatus for generating superpixels for a sequence of images are described. A segmenter segments an image of the sequence of images into a set of initial superpixels. A motion analyzer then determines static and non-static areas in the sequence of images. Based on an output of the motion analyzer the segmenter generates updated superpixels for non-static areas of the sequence of images, and maintains those superpixels of the set of initial superpixels belonging to static areas of the sequence of images.

Method and apparatus for generating superpixels

A method for pixel mapping between an origin superpixel in a first image and a target superpixel in a second image and an apparatus configured to perform the method. The apparatus comprises a feature vector determining unit, which determines a feature vector of an origin pixel of the origin superpixel and which further determines feature vectors of target pixels of the target superpixel. A mapping pixel selector selects a mapping pixel for the origin pixel among the target pixels based on a comparison of the feature vectors.

Method and apparatus for tracking superpixels between related images

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.

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Hildesheim, Germany

Wolfram Putzke-Roeming