Title
Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation
Abstract
The responses of disparity-tuned neurons computed according to the energy model are used for reliable vergence control of a stereo camera head and for disparity estimation. Adjustment of symmetric vergence is driven by minimization of global image disparity resulting in greatly reduced residual disparities. To estimate disparities, cell activities of four frequency channels are pooled and normalized. In contrast to previous active stereo systems based on Gabor filters, our approach uses the responses of simulated neurons which model complex cells in the vertebrate visual cortex.
Year
Venue
Keywords
2002
ICANN
gabor filter,disparity estimation,previous active stereo system,model complex cell,vergence control,residual disparity,energy neurons,global image disparity,stereo camera head,symmetric vergence,reliable vergence control,energy model
Field
DocType
Volume
Residual,Stereo camera,Computer vision,Binocular vision,Normalization (statistics),Visual cortex,Complex cell,Vergence,Pattern recognition,Computer science,Gabor filter,Artificial intelligence
Conference
2415
ISSN
ISBN
Citations 
0302-9743
3-540-44074-7
5
PageRank 
References 
Authors
1.12
4
3
Name
Order
Citations
PageRank
Wolfgang Stürzl15910.23
Ulrich Hoffmann251.12
Hanspeter A. Mallot353172.43