loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.224.43.79

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 186-191. DOI: 10.5220/0003838701860191

@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 (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003838701860191},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
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
IS - 2184-4321
AU - Ando, S.
AU - Kurihara, T.
PY - 2012
SP - 186
EP - 191
DO - 10.5220/0003838701860191
PB - SciTePress