We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Two of the most critical requirementsin support of producing reliableface-recognition systems are a large database of facial images and a testing procedure to evaluate systems. Th...
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. R...
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesi...
Sandra Ober, Martin Winter, Clemens Arth, Horst Bi...