IEICE TRANSACTIONS on Electronics
A VLSI-Oriented Model-Based Robot Vision Processor for 3-D Instrumentation and Object Recognition
Summary :
In robot vision system, enormously large computation power is required to perform three-dimensional (3-D) instrumentation and object recognition. However, many kinds of complex and irregular operations are required to make accurate 3-D instrumentation and object recognition in the conventional method for software implementation. In this paper, a VLSI-oriented Model-Based Robot Vision (MBRV) processor is proposed for high-speed and accurate 3-D instrumentation and object recognition. An input image is compared with two-dimensional (2-D) silhouette images which are generated from the 3-D object models by means of perspective projection. Because the MBRV algorithm always gives the candidates for the accurate 3-D instrumentation and object recognition result with simple and regular procedures, it is suitable for the implementation of the VLSI processor. Highly parallel architecture is employed in the VLSI processor to reduce the latency between the image acquisition and the output generation of the 3-D instrumentation and object recognition results. As a result, 3-D instrumentation and object recognition can be performed 10000 times faster than a 28.5 MIPS workstation.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E77-C No.7 pp.1116-1122
- Publication Date
- 1994/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Super Chip for Intelligent Integrated Systems)
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Yoshifumi SASAKI, Michitaka KAMEYAMA, "A VLSI-Oriented Model-Based Robot Vision Processor for 3-D Instrumentation and Object Recognition" in IEICE TRANSACTIONS on Electronics,
vol. E77-C, no. 7, pp. 1116-1122, July 1994, doi: .
Abstract: In robot vision system, enormously large computation power is required to perform three-dimensional (3-D) instrumentation and object recognition. However, many kinds of complex and irregular operations are required to make accurate 3-D instrumentation and object recognition in the conventional method for software implementation. In this paper, a VLSI-oriented Model-Based Robot Vision (MBRV) processor is proposed for high-speed and accurate 3-D instrumentation and object recognition. An input image is compared with two-dimensional (2-D) silhouette images which are generated from the 3-D object models by means of perspective projection. Because the MBRV algorithm always gives the candidates for the accurate 3-D instrumentation and object recognition result with simple and regular procedures, it is suitable for the implementation of the VLSI processor. Highly parallel architecture is employed in the VLSI processor to reduce the latency between the image acquisition and the output generation of the 3-D instrumentation and object recognition results. As a result, 3-D instrumentation and object recognition can be performed 10000 times faster than a 28.5 MIPS workstation.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e77-c_7_1116/_p
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@ARTICLE{e77-c_7_1116,
author={Yoshifumi SASAKI, Michitaka KAMEYAMA, },
journal={IEICE TRANSACTIONS on Electronics},
title={A VLSI-Oriented Model-Based Robot Vision Processor for 3-D Instrumentation and Object Recognition},
year={1994},
volume={E77-C},
number={7},
pages={1116-1122},
abstract={In robot vision system, enormously large computation power is required to perform three-dimensional (3-D) instrumentation and object recognition. However, many kinds of complex and irregular operations are required to make accurate 3-D instrumentation and object recognition in the conventional method for software implementation. In this paper, a VLSI-oriented Model-Based Robot Vision (MBRV) processor is proposed for high-speed and accurate 3-D instrumentation and object recognition. An input image is compared with two-dimensional (2-D) silhouette images which are generated from the 3-D object models by means of perspective projection. Because the MBRV algorithm always gives the candidates for the accurate 3-D instrumentation and object recognition result with simple and regular procedures, it is suitable for the implementation of the VLSI processor. Highly parallel architecture is employed in the VLSI processor to reduce the latency between the image acquisition and the output generation of the 3-D instrumentation and object recognition results. As a result, 3-D instrumentation and object recognition can be performed 10000 times faster than a 28.5 MIPS workstation.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - A VLSI-Oriented Model-Based Robot Vision Processor for 3-D Instrumentation and Object Recognition
T2 - IEICE TRANSACTIONS on Electronics
SP - 1116
EP - 1122
AU - Yoshifumi SASAKI
AU - Michitaka KAMEYAMA
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E77-C
IS - 7
JA - IEICE TRANSACTIONS on Electronics
Y1 - July 1994
AB - In robot vision system, enormously large computation power is required to perform three-dimensional (3-D) instrumentation and object recognition. However, many kinds of complex and irregular operations are required to make accurate 3-D instrumentation and object recognition in the conventional method for software implementation. In this paper, a VLSI-oriented Model-Based Robot Vision (MBRV) processor is proposed for high-speed and accurate 3-D instrumentation and object recognition. An input image is compared with two-dimensional (2-D) silhouette images which are generated from the 3-D object models by means of perspective projection. Because the MBRV algorithm always gives the candidates for the accurate 3-D instrumentation and object recognition result with simple and regular procedures, it is suitable for the implementation of the VLSI processor. Highly parallel architecture is employed in the VLSI processor to reduce the latency between the image acquisition and the output generation of the 3-D instrumentation and object recognition results. As a result, 3-D instrumentation and object recognition can be performed 10000 times faster than a 28.5 MIPS workstation.
ER -
English
