Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
We present a study of radiometric calibration and the incamera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to invest...
Hai Ting Lin, Seon Joo Kim, Sabine Susstrunk, Mich...
Abstract. The design, development, construction and testing of an ArtificialVision controlled Traffic-Light prototype has been carried out to rule and regulate intersections. Metho...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...