The point cloud is the basis for 3D object surface reconstruction. An incomplete significantly reduces accuracy of downstream work such as reconstruction and recognition. Therefore, point-cloud repair indispensable work. However, original shape difficult to restore due uncertainty position new filling point. Considering advantages convex set in dealing with problems, we propose a method via tha...

This paper presents a new machine-learning Chinese word segmentation (CWS) approach, which defines CWS as a break-point classification problem; the break point is the boundary of two subsequent words. Further, this paper exploits a support vector machine (SVM) classifier, which learns the segmentation rules of the Chinese language from a context model of break points in a corpus. Additionally, ...

Article history: Received 24 April 2009 Received in revised form 15 January 2010 Available online 25 January 2010 Communicated by Y. Liu

We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid registration of point sets. The registration is treated as a Maximum Likelihood (ML) estimation problem with motion coherence constraint over the velocity field such that one point set moves coherently to align with the second set. We formulate the motion coherence constraint and derive a solution of regularized ...