Authors:
Norio Tagawa
and
Syouta Tsukada
Affiliation:
Tokyo Metropolitan University, Japan
Keyword(s):
Shape from Motion, Gradient Method, Direct Recovery, Random Camera Motions.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
For the gradient-based shape from motion, relative motions with various directions at each 3-D point on a
target object are generally effective for accurate shape recovery. On the other hand, a proper motion size exists
for each 3-D point having an intensity pattern and a depth that varied in each, i.e., a too large motion causes a
large error in depth recovery as an alias problem, and a too small motion is inappropriate from the viewpoint
of an SNR. Application of random camera rotations imitating involuntary eye movements of a human eyeball
has been proposed, which can generate multiple image pairs. In this study, in order to realize accurate shape
recovery, we improve the gradient method based on the multiple image pairs by selecting appropriate image
pairs to be used. Its effectiveness is verified through experiments using the actual camera system that we
developed.