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HERIOT-WATT UNIVERSITY Disparity Map Completion for Trilinear-Tensor View Synthesis from Wide-Baseline Stereo (2008)
| Content Provider | CiteSeerX |
|---|---|
| Abstract | This copy of the thesis has been supplied on the condition that anyone who consults it is understood to recognise that the copyright rests with the author and that no quotation from the thesis and no information derived from it may be published without the written consent of the author or the University (as may be appropriate). In this thesis, we present a model-based disparity-map completion method for high-quality novel-view synthesis from wide-baseline stereo, using trilinear-tensor transfer. In immer-sive videoconferencing environments, the wide-baseline stereo setups are used to gain max-imum information about the scene with a minimum number of cameras in order to limit the amount of data that must be processed or transferred. To promote the immersive experi-ence, the cameras are arranged around the screen with their viewpoint differing from that of a remote videoconference participant. The correct viewpoint is synthesised by means of novel-view synthesis. When using trilinear tensor to synthesise novel views, dense disparity maps between the stereo pair of images are crucial to the quality of the synthesised view. However, as the |
| File Format | |
| Publisher Date | 2008-01-01 |
| Access Restriction | Open |
| Subject Keyword | Wide-baseline Stereo Heriot-watt University Disparity Map Completion Trilinear-tensor View Synthesis Stereo Pair Model-based Disparity-map Completion Method Correct Viewpoint Minimum Number Novel View Dense Disparity Map Trilinear-tensor Transfer High-quality Novel-view Synthesis Wide-baseline Stereo Setup Max-imum Information Immersive Experi-ence Synthesised View Remote Videoconference Participant Immer-sive Videoconferencing Environment Novel-view Synthesis |
| Content Type | Text |
| Resource Type | Thesis |
