This paper tackles a particular shape matching problem: given a data base of shapes (described as triangular meshes), we search for all shapes which describe a human. We do so by a...
Wolfram von Funck, Holger Theisel, Hans-Peter Seid...
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
We propose a two-step method for detecting human heads and estimating face orientations under the dynamic environment. In the first step, the method employs an ellipse as the cont...
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
When comparing different methods for face detection or localization, one realizes that just simply comparing the reported results is misleading as, even if the results are reporte...