Image matting based high-quality stereo view synthesis

Hariprasad Kannan; Kiran N. Iyer; Kausik Maiti; Devendra Purbiya; Ajit Bopardikar; Anshul Sharma

doi:10.1117/12.863262

4 August 2010 Image matting based high-quality stereo view synthesis

Hariprasad Kannan, Kiran N. Iyer, Kausik Maiti, Devendra Purbiya, Ajit Bopardikar, Anshul Sharma

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77442Z (2010) https://doi.org/10.1117/12.863262
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

The commercial success and acceptability of 3D technology will critically depend on the overall visual quality of the rendered images. Therefore Depth Image Based Rendering (DIBR) is a crucial component of the 3D system chain. In this paper, we describe a high quality DIBR system for view synthesis. In particular, a procedure is outlined for the processing of the so-called mixed pixels at object boundaries. A Layered Depth Image (LDI) representation of the scene is obtained given an image and corresponding depth map. In the process, all significant mixed pixels in the image are automatically separated into their local foreground and local background. Our results show superior rendering quality, especially at object edges.

Citation Download Citation

Hariprasad Kannan, Kiran N. Iyer, Kausik Maiti, Devendra Purbiya, Ajit Bopardikar, and Anshul Sharma "Image matting based high-quality stereo view synthesis", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442Z (4 August 2010); https://doi.org/10.1117/12.863262

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