Back to Search
Start Over
A STEREO VISION-BASED BIN PICKING SYSTEM USING HOPFIELD NEURAL NETWORKS.
- Source :
-
Journal of Circuits, Systems & Computers . May2009, Vol. 18 Issue 3, p443-463. 21p. 2 Color Photographs, 1 Black and White Photograph, 6 Diagrams, 5 Graphs. - Publication Year :
- 2009
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02181266
- Volume :
- 18
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Circuits, Systems & Computers
- Publication Type :
- Academic Journal
- Accession number :
- 39772740
- Full Text :
- https://doi.org/10.1142/S0218126609005265