We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
Abstract. Many problems in image analysis and computer vision involving boundaries and regions can be cast in a variational formulation. This means that m-surfaces, e.g. curves and...
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...
This paper describes features and methods for document image comparison and classification at the spatial layout level. The methods are useful for visual similarity based document...
Jianying Hu, Ramanujan S. Kashi, Gordon T. Wilfong
We address the problem of estimating the three-dimensional shape and radiance of a surface in space from images obtained with different focal settings. We pose the problem as an in...