We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Aiming at improving image segmentation and extending regular computer vision algorithms an image sensor, acquiring additional depth information is deployed. The novel Photonic Mix...
Frank Wallhoff, Martin Russ, Gerhard Rigoll, Johan...
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...