Sony Corporation

Soo Hyun Bae

Farhan A Baqai

Alexander Berestov

Naoya Katoh

Seijiro Inaba

Ryota Kosakai

The present invention is directed to a method and apparatus for converting a two-dimensional image into a stereoscopic three-dimensional image. In one embodiment, a method of converting a two-dimensional image into a stereoscopic three-dimensional image comprises identifying at least one corresponding pixel from a left eye image and determining a depth and an intensity value for the each pixel within a right eye image using the at least one corresponding pixel. The depth value is stored in a right eye depth map and the intensity value is stored in the right eye image. The method further comprises inpainting at least one occluded region within the right eye image using the right eye depth map.

Method and apparatus for converting a two-dimensional image into a three-dimensional stereoscopic image

A method and apparatus for multiview image generation using depth map information is described. In one embodiment, a computer-implemented method comprises converting a input image and an input depth map into a projected image and a projected depth map using values from physical pixel locations that map to projected pixel locations, wherein the projected image and the projected depth map are associated with a particular view of the input image, inpainting the projected image and the projected depth map and producing an output image in a direction of the particular view using the inpainted projected image and the inpainted projected depth map.

Method and apparatus for multiview image generation using depth map information

A method and apparatus of in-painting an image using prioritized graph cut optimization is disclosed. In one embodiment, the method includes examining an image comprising a plurality of pixels that form a source region and a target region, wherein the source region comprises pixel information partitioning the source region into blocks, defining boundary areas comprising a portion of the source region and a portion of the target region, computing a plurality of energy values for the source region and the boundary areas, wherein energy values represent intensity comparisons between the boundary areas and neighboring blocks of the source region and assigning labels to the boundary areas using on a graph-cut technique, wherein each label is associated with a neighboring block and an minimal energy value for each boundary area and storing pixel information based on the pixel information of the neighboring blocks associated with the minimal energy values.

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San Jose, CA, United States of America

Soo Hyun Bae