EURASIP Journal on Applied Signal Processing - 3DTV: Capture, Transmission, and Display of 3D Video
Multi-baseline disparity fusion for immersive videoconferencing
Proceedings of the 2nd International Conference on Immersive Telecommunications
Spatio-temporally Consistent Multi-view Video Synthesis for Autostereoscopic Displays
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Parallel high resolution real-time visual hull on GPU
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Automatic body segmentation with graph cut and self-adaptive initialization level set (SAILS)
Journal of Visual Communication and Image Representation
3D video and free viewpoint video-From capture to display
Pattern Recognition
Spatio-temporal stereo disparity integration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
New panoramic image generation based on modeling of vignetting and illumination effects
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Kalman-filter based spatio-temporal disparity integration
Pattern Recognition Letters
Real-time generation of multi-view video plus depth content using mixed narrow and wide baseline
Journal of Visual Communication and Image Representation
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Real-time stereo analysis is an important research area in computer vision. In this context, we propose a stereo algorithm for an immersive video-conferencing system by which conferees at different geographical places can meet under similar conditions as in the real world. For this purpose, virtual views of the remote conferees are generated and adapted to the current viewpoint of the local participant. Dense vector fields of high accuracy are required in order to guarantee an adequate quality of the virtual views. Due to the usage of a wide baseline system with strongly convergent camera configurations, the dynamic disparity range is about 150 pixels. Considering computational costs, a full search or even a local search restricted to a small window of a few pixels, as it is implemented in many real-time algorithms, is not suitable for our application because processing on full-resolution video according to CCIR 601 TV standard with 25 frames per second is addressed-the most desirable as a pure software solution running on available processors without any support from dedicated hardware. Therefore, we propose in this paper a new fast algorithm for stereo analysis, which circumvents the window search by using a hybrid recursive matching strategy based on the effective selection of a small number of candidates. However, stereo analysis requires more than a straightforward application of stereo matching. The crucial problem is to produce accurate stereo correspondences in all parts of the image. Especially, errors in occluded regions and homogenous or less structured regions lead to disturbing artifacts in the synthesized virtual views. To cope with this problem, mismatches have to be detected and substituted by a sophisticated interpolation and extrapolation scheme.