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PAMI
2007
156views more  PAMI 2007»
15 years 1 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
PAMI
2007
253views more  PAMI 2007»
15 years 1 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
PR
2007
180views more  PR 2007»
15 years 1 months ago
Hybrid image matching combining Hausdorff distance with normalized gradient matching
Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
PR
2007
127views more  PR 2007»
15 years 1 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
PRL
2007
166views more  PRL 2007»
15 years 1 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
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