We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
In this paper, we propose a novel region-based active contour model for image segmentation with a variational level set formulation. By introducing a local binary fitting energy, ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
In recent years many powerful Computer Vision algorithms have been invented, making automatic or semiautomatic solutions to many popular vision tasks, such as visual object recogn...