Authors:
Shigeru Ando
and
Toru Kurihara
Affiliation:
University of Tokyo, Japan
Keyword(s):
Optical Flow Equation, Weighted Integral Method, Modulated Imaging, Correlation Image Sensor, Computer Vision, Velocity Field Measurement, Particle Image Velocimetry.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Early and Biologically-Inspired Vision
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
of the correlation image sensor(Ando et al., 2009). In this paper, using the newest device of it, we present a theory and experimental evaluation of a bio-inspired vibro-visual correlation imager with various feature extraction capability. Mimicking the involuntary movement (microsaccade) of human eyes, it vibrates rapidly and finely a mirror in its visual axis so as to generate an equivalent vibration of every pixel in a doubly circular locus. The time-varying intensity is captured by a correlation image sensor (CIS) with synchronous reference
signals to the vibration, and complex first/second order differentials and Laplacian are obtained as the image features. General theoretical foundations and an implementation result of this system using a novel 640×512 pixel device are presented. Several experimental results using it including a realtime control of resolution and edge detection from a combined use of the first and second order differentials are shown.