Evolving visual feature detectors
Inhaltsverzeichnis
Reference
Belpaeme, T. (1999). Evolving visual feature detectors. In Floreano, D., et al., eds.: Advances in Artificial Life, Proceedings of the Fifth European Conference. Vol. 1674 of Lecture Notes in Artificial Intelligence. Berlin. Springer, 266–270.
DOI
http://link.springer.com/chapter/10.1007%2F3-540-48304-7_34
Abstract
This paper describes the generation and selection of visual feature detectors. The feature detectors are randomly generated, and are built out of components, some having functionality inspired on observations of animal visual pathways. The input for the feature detectors consists of non-synthetic images, while the selectionist pressure comes from the amount of information the feature detectors generate. The experimental setup is described and some results are given.
Extended Abstract
Bibtex
Used References
T. Belpaeme. Evolution of visual feature detectors. In S. Cagnoni and P. Nordin, editors, Proceedings of EvoIASP99, Late breaking papers, 1999.
R. De Valois and K. De Valois. Spatial vision. Oxford University Press, Oxford, 1990.
D. Marr. Vision. Freeman, 1982.
B. W. Mel. Seemore: Combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition. Neural Computation, 9:777–804, 1997. http://dx.doi.org/10.1162/neco.1997.9.4.777
B. Olshausen and D. Field. Natural image statistics and efficient coding. Network: Computation in Neural Systems, 7(2):333–339, 1996. http://dx.doi.org/10.1088/0954-898X/7/2/014
D. L. Ruderman. The statistics of natural images. Network: Computation in Neural Systems, 5(4):517–548, 1994. http://dx.doi.org/10.1088/0954-898X/5/4/006
T. Wiesel and D. Hubel. Receptive fields and functional architecture of monkey striate cortex. Journal of Physiology, 195:215–243, 1968.
Links
Full Text
[extern file]