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Machine Vision System to Induct Binocular Wide-Angle Foveated Information into Both the Human and Computers - Feature Generation Algorithm based on DFT for Binocular Fixation

Shimizu, Sota and Shimojo, Shinsuke and Jiang, Hao and Burdick, Joel W. (2005) Machine Vision System to Induct Binocular Wide-Angle Foveated Information into Both the Human and Computers - Feature Generation Algorithm based on DFT for Binocular Fixation. In: 2005 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation . IEEE , Piscataway, NJ, pp. 793-799. ISBN 0-7803-8914-X http://resolver.caltech.edu/CaltechAUTHORS:20110825-131956382

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Abstract

This paper introduces a machine vision system, which is suitable for cooperative works between the human and computer. This system provides images inputted from a stereo camera head not only to the processor but also to the user’s sight as binocular wide-angle foveated (WAF) information, thus it is applicable for Virtual Reality (VR) systems such as tele-existence or training experts. The stereo camera head plays a role to get required input images foveated by special wide-angle optics under camera view direction control and 3D head mount display (HMD) displays fused 3D images to the user. Moreover, an analog video signal processing device much inspired from a structure of the human visual system realizes a unique way to provide WAF information to plural processors and the user. Therefore, this developed vision system is also much expected to be applicable for the human brain and vision research, because the design concept is to mimic the human visual system. Further, an algorithm to generate features using Discrete Fourier Transform (DFT) for binocular fixation in order to provide well-fused 3D images to 3D HMD is proposed. This paper examines influences of applying this algorithm to space variant images such as WAF images, based on experimental results.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/ROBOT.2005.1570214 DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1570214PublisherUNSPECIFIED
Additional Information:© 2005 IEEE. Issue Date: 18-22 April 2005. Date of Current Version: 10 January 2006. This work is partially supported by Wind & Biomass Energy R&D and Information Center to S. Shimizu. The author thanks to Ryusuke Hayashi and the other members in Prof. Shinsuke Shimojo’s laboratory, and thanks to Prof. Pietro Perona in California Institute of Technology, and his laboratory’s members for their assistance in carrying out this project. Sota Shimizu was partially supported by a grant from Japan Society for the Promotion of Science, and Wind & Biomass Energy R&D and Information Center.
Funders:
Funding AgencyGrant Number
Japan Society for the Promotion of Science (JSPS)UNSPECIFIED
Wind and Biomass Energy R&D and Information CenterUNSPECIFIED
Subject Keywords:fovea; stereo vision; 3D HMD; binocular fixation; feature generation; DFT; stereo matching; LGN device
Record Number:CaltechAUTHORS:20110825-131956382
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20110825-131956382
Official Citation:Shimizu, S.; Shimojo, S.; Hao Jiang; Burdick, J.W.; , "Machine Vision System to Induct Binocular Wide-Angle Foveated Information into Both the Human and Computers - Feature Generation Algorithm based on DFT for Binocular Fixation -," Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on , vol., no., pp. 793- 799, 18-22 April 2005 doi: 10.1109/ROBOT.2005.1570214 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1570214&isnumber=33250
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25098
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Aug 2011 22:11
Last Modified:26 Aug 2011 22:11

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