Authors:
Yasunori Nishioka
1
;
Fumihiko Sakaue
1
;
Jun Sato
1
;
Kazuhisa Ishimaru
2
;
Naoki Kawasaki
2
and
Noriaki Shirai
3
Affiliations:
1
Nagoya Institute of Technology, Japan
;
2
NIPPON SOKEN INC., Japan
;
3
DENSO CORPORATION, Japan
Keyword(s):
3D Reconstruction, Image Super-resolution, Coded Exposure.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
In this paper, we propose a method for reconstructing 3D structure accurately from images taken by unintentionally swaying cameras. In this method, image super-resolution and 3D reconstruction are achieved simultaneously by using series of motion blur images. In addition, we utilize coded exposure in order to achieve stable super resolution. Furthermore, we show efficient stereo camera arrangement for stable 3D reconstruction from swaying cameras. The experimental results show that the proposed method can reconstruct 3D shape very accurately.