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- Title
A STEREO VISION-BASED BIN PICKING SYSTEM USING HOPFIELD NEURAL NETWORKS.
- Authors
RASTGAR, HOUMAN; AHMADI, MAJID; SID-AHMED, MAHER
- Abstract
In this paper, a new machine vision algorithm for close-range position sensing and bin picking is presented where a Hopfield Neural Network (HNN) is used for the stereo matching process. Stereo Matching is formulated as an energy minimization task and this minimization is accomplished using the HNNs. Various other important aspects of this Vision System are discussed including camera calibration and objects localization using a clustering algorithm.
- Subjects
COMPUTER vision; ARTIFICIAL neural networks; ENGINEERING instruments; ELECTRONIC circuits; ALGORITHMS; CALIBRATION
- Publication
Journal of Circuits, Systems & Computers, 2009, Vol 18, Issue 3, p443
- ISSN
0218-1266
- Publication type
Article
- DOI
10.1142/S0218126609005265