대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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- Pages.133-136
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- 2004
Estimation of Trifocal Tensor with Corresponding Mesh of Two Frontal Images
- Tran Duy Dung (Dept. of Computer Engineering, Kongju National University) ;
- Jun Byung Hwan (Division of Information and Communication Engineering, Kongju National University)
- 발행 : 2004.08.01
초록
We are going to procedure various view from two frontal image using trifocal tensor. We found that warping is effective to produce synthesized poses of a face with the small number of mesh point of a given image in previous research[1]. For this research, fundamental matrix is important to calculate trifocal tensor. So, in this paper, we investigate two existing algorithms: Hartley's[2] and Kanatani's[3]. As an experimental result, Kenichi Kantani's algorithm has better performance of fundamental matrix than Harley's algorithm. Then we use the fundamental matrix of Kenichi Kantani's algorithm to calculate trifocal tensor. From trifocal tensor we calculate new trifocal tensor with rotation input and translation input and we use warping to produce new virtual views.