5 Result(s)
-
Chapter and Conference Paper
Large Scale Urban Scene Modeling from MVS Meshes
In this paper we present an efficient modeling framework for large scale urban scenes. Taking surface meshes derived from multi-view-stereo systems as input, our algorithm outputs simplified models with semant...
-
Chapter and Conference Paper
A New Visibility Model for Surface Reconstruction
In this paper, we propose a new visibility model for scene reconstruction. To yield out surface meshes with enough scene details, we introduce a new visibility model, which keeps the relaxed visibility constra...
-
Chapter and Conference Paper
Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction
One of the potentially effective means for 3D reconstruction is to reconstruct the scene in a global manner, rather than incrementally, by fully exploiting available auxiliary information on imaging condition,...
-
Chapter and Conference Paper
Monocular Template-Based Tracking of Inextensible Deformable Surfaces under L 2-Norm
We present a method for recovering the 3D shape of an inextensible deformable surface from a monocular image sequence. State-of-the-art method on this problem [1] utilizes L ∞ -norm of reprojecti...
-
Chapter and Conference Paper
Probability Evolutionary Algorithm Based Human Body Tracking
A novel evolutionary algorithm called Probability Evolutionary Algorithm (PEA), and a method based on PEA for visual tracking of human body are presented. PEA is inspired by the Quantum computation and the Qua...
