Authors:
Norio Tagawa
;
Shoei Koizumi
and
Kan Okubo
Affiliation:
Tokyo Metropolitan University, Japan
Keyword(s):
Shape from Motion Blur, Random Camera Rotation, Fixational Eye Movement, Integral Formed Method.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Early and Biologically-Inspired Vision
;
Image and Video Analysis
;
Motion, Tracking and Stereo Vision
;
Stereo Vision and Structure from Motion
Abstract:
It has been reported that small involuntary vibrations of a human eyeball for fixation called ”fixational eye movements” play a role of image analysis, for example contrast enhancement and edge detection. This mechanism can be interpreted as an instance of stochastic resonance, which is inspired by biology, more specifically by neuron dynamics. A depth recovery method has been proposed, which uses many successive image pairs generated by random camera rotations imitating fixational eye movements. This method, however, is not adequate for images having fine texture details because of an aliasing problem. To overcome this problem, we propose a new integral formed method for recovering depth, which uses motion blur caused by the same camera motions, i.e. many random small camera rotations. As an algorithm, we examine a method directly recovering depth without computing a blur function. To confirm the feasibility of our scheme, we perform simulations using artificial images.