: In this paper we present a complete neuromorphic image processing system and we report the development of an integrated CMOS low-power circuit to test the feasibility of its diff...
Abstract: One of the basic tasks of automotive collision avoidance and collision mitigation systems is the robust and reliable detection of objects as well as the prediction of fut...
Norman Mattern, Robin Schubert, Christian Adam, Ge...
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...