We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
We present an algorithm which allows us to reconstruct a RegionOf-Interest (ROI) from transaxial truncated cone-beam projections. While sometimes it is possible to reconstruct goo...
Traditional flat screen displays present 2D images. 3D and 4D displays have been proposed making use of lenslet arrays to shape a fixed outgoing light field for horizontal or bidi...
Martin Fuchs, Ramesh Raskar, Hans-Peter Seidel, He...
Abstract. Shape features applied to object recognition has been actively studied since the beginning of the field in 1950s and remain a viable alternative to appearance based metho...