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Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
Isaac is a programing language for geometric reasoning intended for controlling mobile robots, currently under development at NMSU. Due to the application area, handling input and...
Joseph J. Pfeiffer Jr., Rick L. Vinyard Jr., Berna...
This work addresses the two major drawbacks of current statistical uncertain geometric reasoning approaches. In the first part a framework is presented, that allows to represent u...
We study the problem of generating plausible interpretations
of a scene from a collection of line segments automatically
extracted from a single indoor image. We show that
we ca...