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High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information

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4 Author(s)
Tsuchida, I. ; Grad. Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan ; Fan Chen ; Izawa, J. ; Kotani, K.

Compared to conventional synthesis methods of free viewpoint images that use only multi-view images, our research synthesizes high quality free viewpoint images by using multi-view depth information as well as the images. By recovering high resolution and high precision 3D shapes from multi-view information, high quality free viewpoint images are synthesizable. Our research captures the scene by acquiring its multi-view depth appearance information, using a laser range finder. By performing camera parameter estimation, multi-view 3D shape integration and depth estimation, high quality free viewpoint images for any scene are synthesized. The performance of our method has been investigated by experimental results.

Published in:

Multimedia (ISM), 2011 IEEE International Symposium on

Date of Conference:

5-7 Dec. 2011