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ICCV
2003
IEEE
14 years 8 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
ICPR
2004
IEEE
14 years 7 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
EMMCVPR
2009
Springer
13 years 11 months ago
A Local Normal-Based Region Term for Active Contours
Global region-based active contours, like the Chan-Vese model, often make strong assumptions on the intensity distributions of the searched object and background, preventing their ...
Julien Mille, Laurent D. Cohen
CVPR
2008
IEEE
13 years 8 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
ICPR
2008
IEEE
14 years 8 months ago
Shot boundary detection using co-occurrence of global motion in video stream
We propose a method of shot boundary detection based on the co-occurrence of global motion in video stream. In addition to the conventional features based on appearance and local ...
Hironobu Fujiyoshi, Yosuke Murai