A statistical modeling approach to content based video retrieval
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
The Ball-Pivoting Algorithm (BPA) computes a triangle mesh interpolating a given point cloud. Typically, the points are surface samples acquired with multiple range scans of an object, The principle of (he BPA is very simple: Three points form a triangle if a ball of a user-specified radius p touches them without containing any other point. Starting with a seed triangle, the ball pivots around an edge (i.e., it revolves around the edge while keeping in contact with the edge's endpoints) until it touches another point, forming another triangle, The process continues until all reachable edges have been tried, and then starts from another seed triangle, until all points have been considered. The process can then be repeated with a ball of larger radius to handle uneven sampling densities. We applied the BPA to datasets of millions of points representing actual scans of complex 3D objects. The relatively small amount of memory required by the BPA, its time efficiency, and the quality of the results obtained compare favorably with existing techniques. © 1999 IEEE.
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Benny Kimelfeld, Yehoshua Sagiv
ICDT 2013
Xiaohui Shen, Gang Hua, et al.
FG 2011
Tetsuro Morimura, Sei Kato
ICPR 2012