We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...
Spatiotemporal helixes constitute a novel method we developed for modeling changes in an object over time. Changes in both an object's trajectory and its outline can be repre...
Kristin Eickhorst, Peggy Agouris, Anthony Stefanid...
I give a `totality space' model for linear logic [4], detaking an abstract view of computations on a datatype. The model has similarities with both the coherence space model ...