We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
— We present GATMO (Generalized Approach to Tracking Movable Objects), a system for localization and mapping that incorporates the dynamic nature of the environment while maintai...
Garratt Gallagher, Siddhartha S. Srinivasa, J. And...
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...
A novel approach for similarity search on the protein structure databases is proposed. PADS (Protein Alignment by Directional shape Signatures) incorporates the three dimensional ...
S. Alireza Aghili, Divyakant Agrawal, Amr El Abbad...