Background: Interest is growing in the application of syntactic parsers to natural language processing problems in biology, but assessing their performance is difficult because di...
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Abstract. We propose a method for object category localization by partially matching edge contours to a single shape prototype of the category. Previous work in this area either re...
Hayko Riemenschneider, Michael Donoser, and Horst ...
Automatic shape acquisition technologies evolved rapidly in recent years, and huge mass of 3D data can be easily produced. The high accuracy of range scanning technology makes the...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...