Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
A modification of the cascaded detector with the AdaBoost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a seque...
Abstract— We improve and adjust usual weak calibration techniques to the case of stereo video microscopes : Harris detector using a simplex optimization method for feature points...
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...