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TIP
2008
125views more  TIP 2008»
14 years 11 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
CVPR
2005
IEEE
16 years 1 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
102
Voted
TAMC
2010
Springer
15 years 4 months ago
Incremental List Coloring of Graphs, Parameterized by Conservation
Incrementally k-list coloring a graph means that a graph is given by adding stepwise one vertex after another, and for each intermediate step we ask for a vertex coloring such that...
Sepp Hartung, Rolf Niedermeier
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
14 years 8 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
PRL
2007
125views more  PRL 2007»
14 years 10 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