Politechnika Poznanska

Electronics and Telecommunications Research Institute

Poznan University of Technology

Jakub Stankowski

Marek Domanski

Krzysztof Wegner

Olgierd Stankiewicz

Krzysztof Klimaszewski

Tomasz Grajek

Damian Karwowski

Robert Ratajczak

Maciej Kurc

Kug Jin Yun

Gwang Soon Lee

Jun Young Jeong

Hong Chang Shin

Jacek Konieczny

Dawid Mieloch

Adrian Dziembowski

Jakub Siast

Adam Grzelka

Disclosed herein is an image encoding/decoding method and apparatus for virtual view synthesis. The image decoding for virtual view synthesis may include decoding texture information and depth information of at least one or more basic view images and at least one or more additional view images from a bit stream and synthesizing a virtual view on the basis of the texture information and the depth information, wherein the basic view image and the additional view image comprise a non-empty region and an empty region, and wherein the synthesizing of the virtual view comprises determining the non-empty region through a specific value in the depth information and a threshold and synthesizing the virtual view by using the determined non-empty region.

Method and apparatus for encoding/decoding image for virtual view synthesis

A method for disoccluded region coding in multiview video data stream by an entropy encoder, the method comprising the steps of: coding a block of a base view; storing state and estimated probabilities in contexts models of the entropy encoder in a context storage module with a reference identifying the block of the base view; repeating the aforementioned steps of coding and storing for every block of the base view of the multiview video data stream; starting coding of a disoccluded region and dividing, into blocks, disoccluded area of a side view associated with the base view; determining, for neighboring blocks, of currently coded block, that have not been in the disoccluded area, a corresponding block in the base view, using a block correspondence database; when such a correspondence is determined, reading a previously stored state and estimated probabilities in context models of the entropy encoder for the corresponding block; copying all coding modes from the corresponding block to the neighboring block; applying state and estimated probabilities in context models to the entropy encoder of the block that is adjacent to the currently processed block; encoding, by the entropy encoder, the selected block of the side view; and repeating steps (e) to (i) for all blocks of the side view associated with the base view processed in steps (a) to (b).

System and a method for disocluded region coding in a multiview video data stream

A method for predictive encoding of a depth map, includes the steps of receiving a depth map; dividing the depth map to blocks; performing quad-tree decomposition of the depth map to sub-blocks; approximating each of the sub-blocks by a plane, wherein the plane is associated with three plane points; and determining an order of coding of the sub-blocks; and providing an encoded depth map in a form of a set of planes defined by parameters. The method includes, while encoding consecutive sub-blocks: calculating predictors for the plane points of the currently-encoded sub-block (C); calculating differences between the actual values of the plane points and the values of the corresponding predictors; and providing the parameters of the plane for the currently-encoded sub-block (C) in form of the differences.

Method for predictive coding of depth maps with plane points

A computer-implemented system for generating a depth map for a pair of stereoscopic images, the system comprising a lower level processing arrangement and a higher level processing arrangement. The lower level processing arrangement comprises a search range estimation module receiving a reliability map and configured to determine a range of considered disparities in a higher level of processing wherein a decision regarding such range is taken based on the reliability map. The higher level processing arrangement comprises a depth map generation with reliability module receiving output of an image sections matching module configured to output a depth map and a reliability map wherein the reliability map comprises data on reliability, with which a disparity value has been determined for each point of the pair of stereoscopic images.

System and a method for generating a depth map

A method for depth-image-based rendering, the method comprising the steps of: obtaining a first reference view; obtaining a depth map for the first reference view; obtaining a second reference view; obtaining a depth map for the second reference view; the method further comprising the steps of extracting noise present in the first and the second reference views; denoising the first and the second reference views and, based on the denoised first and second reference views, rendering an output view using depth-image-based rendering; adding the extracted noise to the output view.

System and a method for depth-image-based rendering

A method for estimating a size of an object present on two images representing the same scene from different points of view, the method comprising: determining an AAM image model; matching the AAM image model to the images to find a set of parameters describing the shape of the model (p) and the appearance of the model (&#x3bb;) for which minimal matching errors for both images occur; and estimating the size of the object based on the differences in locations of points of the AAM image model in the images. The image model is matched to both images mutually, i.e. by using information from both images.

System and method for object dimension estimation

An image coding method. The method includes encoding a first image, the first image having a reduced spatial resolution relative to an input image, wherein values of the first image depend on energy of corresponding areas of the input image, and encoding a first shape information of the shape of a spatial spectrum of the input image. The method further includes reconstructing a second image from the encoded first image, reconstructing a second shape information from the encoded first shape information, and generating a noise image having an intensity described by the second image and having a spectrum shape described by the second shape information.

Image coding method

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Poznan, Poland

Jakub Stankowski