This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
This paper presents our progress on OpenVL - a novel software architecture to address efficiency through facilitating hardware acceleration, reusability and scalability for comput...
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
Computer vision has been studied for more than 40 years. Due to the increasingly diverse and rapidly developed topics in vision and the related fields (e.g., machine learning, sign...