We propose an adaptive decomposition algorithm to compute separation distances between arbitrarily shaped objects. Using the Gilbert-JohnsonKeerthi algorithm (GJK), we search for ...
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
In this paper we discuss generalizations of instantaneous, local vortex criteria. We incorporate information on spatial context and temporal development into the detection process...
Raphael Fuchs, Ronald Peikert, Filip Sadlo, Bilal ...
Architectural blueprints offer a concise, clear and high-level description of the structure of a building. On the other hand, state of the art reconstruction pipelines can nowaday...
Michela Farenzena, Andrea Fusiello, Riccardo Ghera...
Bounding volume hierarchies have become a very popular way to speed up ray tracing. In this paper we present a novel traversal and approximation scheme for bounding volume hierarc...
Martin Eisemann, Christian Woizischke, Marcus A. M...
Scientific data-sets often come with an inherent hierarchical structure such as functional substructures within organs. In this work we propose a new visualization approach for vo...
Jean-Paul Balabanian, Ivan Viola, Martin Ystad, Ar...
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results i...
Cedric Vanaken, Chris Hermans, Tom Mertens, Fabian...
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...