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ICPR
2008
IEEE
15 years 4 months ago
Novel image feature alphabets for object recognition
Most successful object recognition systems are based on a visual alphabet of quantised gradient orientations. Here, we introduce two richer image feature alphabets for use in obje...
Martin Lillholm, Lewis D. Griffin
BC
2006
149views more  BC 2006»
14 years 9 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
MVA
1990
131views Computer Vision» more  MVA 1990»
14 years 10 months ago
Recognition and Relocation of 3-Dimensional Objects Using Stereo Robot Vision System
An important task in sterco robot vision is to determine the three-dimcnsional locations of objects. The real location of an object is determined from the disparity of matched pin...
Kyoung Mihn Do, Chee-Woo Kang, Kwae-Hi Lee
ESANN
2004
14 years 11 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray