Title :
A new CNN IC for stereo visual system
Author :
Salerno, Mario ; Sargeni, Fausto ; Bonaiuto, V.
Author_Institution :
Dipartimento di Elettronica, Rome Univ., Italy
Abstract :
In environment sensing, one of the most relevant knots is certainly represented by the implementation of an effective system for the real time extraction of the three-dimensional information. Several effective approaches on this topic have been proposed in literature. Among the others, the Stereo Vision approach seems to be really attractive. Moreover, such an algorithm can be effectively mapped on a Cellular Neural Network. Consequently, it can be analogue implemented overcoming to the difficulties leading from the relative high computational cost and the required real time processing. In this paper, a new CNN chip well suited for a Stereo Visual System will be presented
Keywords :
cellular neural nets; neural chips; real-time systems; stereo image processing; analogue IC; cellular neural network algorithm; environment sensing; real-time processing; stereo visual system; three-dimensional information extraction; Cellular neural networks; Computational efficiency; Data mining; Hardware; Image analysis; Image reconstruction; Real time systems; Robot sensing systems; Stereo vision; Visual system;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921319
