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2011 IEEE International Symposium on Multimedia
High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information
Dana Point, California USA
December 05-December 07
ISBN: 978-0-7695-4589-9
| ASCII Text | x | ||
| Itaru Tsuchida, Fan Chen, Junko Izawa, Kazunori Kotani, "High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information," Multimedia, International Symposium on, pp. 13-18, 2011 IEEE International Symposium on Multimedia, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/ISM.2011.12, author = {Itaru Tsuchida and Fan Chen and Junko Izawa and Kazunori Kotani}, title = {High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information}, journal ={Multimedia, International Symposium on}, volume = {0}, year = {2011}, isbn = {978-0-7695-4589-9}, pages = {13-18}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISM.2011.12}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Multimedia, International Symposium on TI - High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information SN - 978-0-7695-4589-9 SP13 EP18 A1 - Itaru Tsuchida, A1 - Fan Chen, A1 - Junko Izawa, A1 - Kazunori Kotani, PY - 2011 KW - free viewpoint image synthesis KW - multi-view environment KW - shape integration KW - depth estimation VL - 0 JA - Multimedia, International Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISM.2011.12
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.
Index Terms:
free viewpoint image synthesis, multi-view environment, shape integration, depth estimation
Citation:
Itaru Tsuchida, Fan Chen, Junko Izawa, Kazunori Kotani, "High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information," ism, pp.13-18, 2011 IEEE International Symposium on Multimedia, 2011
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