VIBRO-VISUAL IMAGE FEATURE EXTRACTION WITH CORRELATION IMAGE SENSOR - Circular and Doubly Circular Vibration for Arbitrary Complex Differentials

Shigeru Ando, Toru Kurihara

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.

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Paper Citation


in Harvard Style

Ando S. and Kurihara T. (2012). VIBRO-VISUAL IMAGE FEATURE EXTRACTION WITH CORRELATION IMAGE SENSOR - Circular and Doubly Circular Vibration for Arbitrary Complex Differentials . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 186-191. DOI: 10.5220/0003838701860191


in Bibtex Style

@conference{visapp12,
author={Shigeru Ando and Toru Kurihara},
title={VIBRO-VISUAL IMAGE FEATURE EXTRACTION WITH CORRELATION IMAGE SENSOR - Circular and Doubly Circular Vibration for Arbitrary Complex Differentials},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003838701860191},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - VIBRO-VISUAL IMAGE FEATURE EXTRACTION WITH CORRELATION IMAGE SENSOR - Circular and Doubly Circular Vibration for Arbitrary Complex Differentials
SN - 978-989-8565-03-7
AU - Ando S.
AU - Kurihara T.
PY - 2012
SP - 186
EP - 191
DO - 10.5220/0003838701860191