Real-Time Shape Recognition Using a Pixel-Parallel Processor

Author:

Komuro Takashi, ,Senjo Yoshiki,Sogen Kiyohiro,Kagami Shingo,Ishikawa Masatoshi

Abstract

We propose a method to realize robust real-time shape recognition against noise and occlusion by using information of an entire image, and by performing image processing in a pixel parallel manner. The evaluation by simulation showed that the proposed method was effective for images with noise or partially occluded images. We implemented the algorithm to a vision chip which performs pixel-parallel processing and confirmed real-time operation. We also estimated the performance of the method on an ideal processor.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference8 articles.

1. S. Yamane, M. Izumi, and K. Fukunaga, “A Method of Model-Based Pose Estimation,” IEICE Transactions on Information and Systems, pt.2 (Japanese Edition), Vol.J79-D-II, No.2, pp. 165-173, 1996 (in Japanese).

2. F. Toyama, K. Shoji, and J. Miyamichi, “Pose Estimation from a Line Drawing Using Genetic Algorithm,” IEICE Transactions on Information and Systems, pt.2 (Japanese Edition), Vol.J81-D-II, No.7, pp. 1584-1590, 1998 (in Japanese).

3. M. Ishikawa, and T. Komuro, “Digital Vision Chips and High-Speed Vision Systems,” 2001 Symposium on VLSI Circuits Digest of Technical Papers, pp. 1-4, 2001.

4. E. S. Gayles, T. P. Kelliher, R. M. Owens, and M. J. Irwin, “The Design of MGAP-2: A Micro-Grained Massively Parallel Array,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol.8, No.6, pp. 709-716, 2000.

5. J. C. Gealow, F. P. Herrmann, L. T. Hsu, and C. G. Sodini, “System Design for Pixel Parallel Image Processing,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol.4, No.1, pp. 32-41, 1996.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Special Issue on Innovative Technology for Nursing Care and Nosotrophy;Journal of Robotics and Mechatronics;2017-04-20

2. Current Status and Future Trends on Robot Vision Technology;Journal of Robotics and Mechatronics;2017-04-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3