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» Object Recognition by Implicit Invariants
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CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
13 years 11 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
ECCV
1998
Springer
14 years 9 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
ICIP
2000
IEEE
14 years 9 months ago
The Role of Massive Color Quantization in Object Recognition
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean e...
Signe Redfield, John G. Harris
PRL
2007
125views more  PRL 2007»
13 years 7 months ago
Combining color and spatial information for object recognition across illumination changes
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
Damien Muselet, Ludovic Macaire
ICPR
2008
IEEE
14 years 1 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal