In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
This paper presents a metric based on information theory principles that compares 3D object models to images. The metric is based on the formulation of the mutual information betw...
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...
This paper analyses the reconstruction of a 3-D scene from multiple images. The proposed approach uses a voxel representation for initializing an implicit radial basis function (R...
We propose a modular framework for robust 3D reconstruction from unorganized, unoriented, noisy, and outlierridden geometric data. We gain robustness and scalability over previous...
Patrick Mullen, Fernando de Goes, Mathieu Desbrun,...