no code implementations • 31 Oct 2015 • Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese
In this paper, we therefore explore this idea and propose an automatic method for detecting and representing the semantic information of an RGB image with the goal of performing cross-view matching with a (non-RGB) geographic information system (GIS).
no code implementations • CVPR 2013 • Jose Henrique Brito, Roland Angst, Kevin Koser, Marc Pollefeys
In cameras with radial distortion, straight lines in space are in general mapped to curves in the image.
no code implementations • CVPR 2013 • Bastien Jacquet, Roland Angst, Marc Pollefeys
The analysis is based on linear subspaces spanned by relative transformations.
no code implementations • CVPR 2013 • Christian Hane, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys
Image segmentations provide geometric cues about which surface orientations are more likely to appear at a certain location in space whereas a dense 3D reconstruction yields a suitable regularization for the segmentation problem by lifting the labeling from 2D images to 3D space.