A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Multiple View Reconstruction of People
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Foreground regions extraction and characterization towards real-time object tracking
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Stereo analysis by hybrid recursive matching for real-time immersive video conferencing
IEEE Transactions on Circuits and Systems for Video Technology
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This paper discusses the problem of high quality depth map estimation for real-time systems. Our work is based on the European FP7 project 3DPresence which aims to build a multi-view and multiuser 3D videoconferencing system. Based on new multi-view autostereoscopic display technology the remote conferees will be rendered as an integral part of a three dimensional virtual shared environment. In order to create the related views for the 3D displays as well as to virtually correct the eye contact problem robust depth maps are required. For this purpose, in this paper we will discuss the fusion of two competing approaches which have, from a camera configuration point of view, contrary to each other properties. Namely, we will combine the volumetric Visual Hull (VH) approach with the stereo matching based Hybrid Recursive Matching (HRM) to a new method which benefits from the advantages of both techniques and discards their weak points.