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» Selection and Fusion of Color Models for Feature Detection
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DAGM
2004
Springer
14 years 1 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange
IBPRIA
2005
Springer
14 years 2 months ago
Gabor Parameter Selection for Local Feature Detection
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
Plinio Moreno, Alexandre Bernardino, José S...
ICPR
2008
IEEE
14 years 2 months ago
Automatic face and facial features initialization for robust and accurate tracking
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many cu...
Murad Al Haj, Javier Orozco, Jordi Gonzàlez...
CVPR
1999
IEEE
14 years 10 months ago
Statistical Color Models with Application to Skin Detection
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color u...
Michael J. Jones, James M. Rehg
DICTA
2003
13 years 9 months ago
Real-Time Detection, Registration and Recognition Using Pixel-Level Fusion of Active/Passive Imagery
  -  A  system  has  been  developed  whereby  active  ladar  and  passive  electro-optic  imaging  data  are  aligned  in  hardware  at  the  pixel  level. ...
Alan Steinberg, Robert Pack