In this paper, we propose a new approach of synthesizing novel views in multiview camera configurations. We introduce the semi N-view & N-depth framework in order to estimate disparity maps efficiently and correctly. This framework reduces redundancy on disparity estimation by using information from neighboring views. The occlusion problem is handled by using cost functions computed with multiview images. The proposed method provides a 2D/3D freeview video. User can select 2D/3D modes of freeview video and control 3D depth perception by adjusting several parameters in 3D freeview video. Experimental results show that the proposed method yields the accurate disparity maps and provides seamless freeview videos.
|Title of host publication||2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings|
|Number of pages||4|
|Publication status||Published - 2008|
|Event||2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States|
Duration: 2008 Oct 12 → 2008 Oct 15
|Name||Proceedings - International Conference on Image Processing, ICIP|
|Other||2008 IEEE International Conference on Image Processing, ICIP 2008|
|City||San Diego, CA|
|Period||08/10/12 → 08/10/15|
Bibliographical noteFunding Information:
This work was financially supported by the Ministry of Education, Science and Technology (MEST), the Ministry of Knowledge Economy (MKE) and the Ministry of Labor (MOLAB) through the fostering project of the Lab of Excellency, and was partially supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research Center (BERC) at Yonsei University.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing