We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
We propose a scheme for indoor place identication based on the recognition of global scene
views. Scene views are encoded using a holistic representation that provides low-resolu...
An important topic in face recognition as well as in video coding or multi-modal human machine interfaces is the automatic localization of faces or headand-shoulder regions in vis...
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...