We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
In this paper, facial expression is coded by steerable filters which are rotated very efficiently by taking a suitable linear combination of basis filters. Local features extracte...
The robust localization and tracking of faces in video streams is a fundamental concern for many subsequent multi-modal recognition approaches. Especially in meeting scenarios sev...
Frank Wallhoff, Martin Zobl, Gerhard Rigoll, Igor ...