Increasing the object recognition distance of compact open air on board vision system

2016 ◽  
Author(s):  
Sergey Kirillov ◽  
Ivan Kostkin ◽  
Valery Strotov ◽  
Vladimir Dmitriev ◽  
Vadim Berdnikov ◽  
...  
Keyword(s):  
Object Recognition ◽  
Vision System

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.

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