Authors:
Tomoaki Nonome
;
Fumihiko Sakaue
and
Jun Sato
Affiliation:
Nagoya Institute of Technology, Japan
Keyword(s):
Super-Resolution, Multiple Cameras, 3D Reconstruction, High Resolution.
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 novel method for reconstructing high resolution 3D structure and texture of the
scene. In the image processing, it is known that image super-resolution is possible from multiple low resolution
images. In this paper, we extend the image super-resolution into 3D space, and show that it is possible to
recover high resolution 3D structure and high resolution texture of the scene from low resolution images taken
at different viewpoints. The experimental results from real and synthetic images show the efficiency of the
proposed method.