Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Estimation of Layers from Multiple Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
Boundary matting for view synthesis
Computer Vision and Image Understanding
Image-Based Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D/3D freeview video generation for 3DTV system
Image Communication
View generation with 3D warping using depth information for FTV
Image Communication
Objective quality assessment in free-viewpoint video production
Image Communication
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Boundary Filtering on Synthesized Views of 3D Video
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 03
FTV: Free-viewpoint Television
Image Communication
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In this paper, we present a new view synthesis method in multiview camera configurations of Free viewpoint TV (FTV) where potential depth errors are considered. The emphasis is on the artifacts eliminating for photorealistic synthesis especially near object boundaries. In contrast to conventional techniques which ignore geometry errors, we first categorize the artifact cases and depth modes. Furthermore, this paper infers the complementarity principle of the artifacts from left and right references. This complementarity guarantees the effectiveness of our reliability-based synthesis. The reliability reasoning is crucial for artifacts reduction. The reliable and unreliable areas from different views can be correctly labeled. Then artifacts caused by unreliable pixels from one reference can be replaced by the reliable pixels from the other reference. As a final result, artifacts of novel view are demonstrated to be significantly reduced on different multiview sequences.