Eighth Pacific Conference on Computer Graphics and Applications (PG''00)
Mesh Construction from Non-Uniformly Distributed and Noisy 3D Points Recovered from Image Sequence
Hong Kong, China
October 03-October 05
ISBN: 0-7695-0868-5
This paper describes a novel method for constructing triangle meshes from noisy and non-uniformly distributed 3D points. It consists of two steps. (1) Noise point removal uses clustering algorithm and epipolar constraint method to identify and remove noise points from the 3D points. (2) Constructive polygonization algorithm interpolates cleaned 3D points to construct a triangle mesh of the object.1
Citation:
Indriyati Atmosukarto, Wee Kheng Leow, Zhiyong Huang, Yong Zhang, Kah Kay Sung, "Mesh Construction from Non-Uniformly Distributed and Noisy 3D Points Recovered from Image Sequence," pg, pp.423, Eighth Pacific Conference on Computer Graphics and Applications (PG''00), 2000