scholarly journals Projective Reconstruction and Its Application in Object Recognition for Robot Vision System

10.5772/6158 ◽  
2008 ◽  
Author(s):  
Ferenc Tl ◽  
Bla Lantos
Keyword(s):  
Object Recognition ◽  
Vision System ◽  
Robot Vision ◽  
Projective Reconstruction

Design of a Model-Based Robot Vision VLSI Processor

1994 ◽  
Vol 6 (2) ◽  
pp. 131-136
Author(s):  
Yoshifumi Sasaki ◽  
◽  
Michitaka Kameyama
Keyword(s):  
Object Recognition ◽  
High Performance ◽  
Vision System ◽  
Robot Vision ◽  
Parallel Architecture ◽  
Computation Time ◽  
Input Image ◽  
Position Estimation ◽  
Computational Time ◽  
Model Matching

For intelligent robots, a robot vision system is usually required to perform three-dimensional (3-D) position estimation as well as object recognition at high speeds. In this paper, we propose an algorithm for 3-D object recognition and position estimation for the implementation of a VLSI processor The principle of the algorithm is based on model matching between an input image and models stored in memory. Because of enormous computation time, the development of a high-performance VLSI processor is essential. Highly parallel architecture is introduced in the VLSI processor to reduce the latency. As a result of highly parallel computing, the computational time is 10000 times faster than that of a 28.5 MIPS workstation.

Projective reconstruction for robot vision system

2006 ◽  
Author(s):  
Ferenc Tel ◽  
Bela Lantos
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Projective Reconstruction

A Robot Vision System for Object Recognition and Work Piece Location

1996 ◽  
pp. 147-150
Author(s):  
Wang Min ◽  
Dai Qizhi ◽  
Wang Jun
Keyword(s):  
Object Recognition ◽  
Vision System ◽  
Robot Vision ◽  
Work Piece

scholarly journals Industrial Robot Vision System

1983 ◽  
Vol 16 (20) ◽  
pp. 337-341
Author(s):  
V.M. Grishkin ◽  
F.M. Kulakov
Keyword(s):  
Vision System ◽  
Industrial Robot ◽  
Robot Vision

A Robot Vision System Based on Two-Dimensional Object-Oriented Models

1986 ◽  
Vol 16 (4) ◽  
pp. 582-589 ◽  
Author(s):  
Lorenz A. Schmitt ◽  
William A. Gruver ◽  
Assad Ansari
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Object Oriented ◽  
Two Dimensional ◽  
Dimensional Object

A self-learning robot vision system

1991 ◽  
Author(s):  
H. Kobayashi ◽  
K. Uchida ◽  
Y. Matsuzaki
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Self Learning
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