A sub-area of discrepancy theory that has received much attention in computer science recently, is that of explicit constructions of low-discrepancy point sets for various types o...
In this paper, we propose a novel algorithm for the automatic registration of two overlapping range images. Since it is relatively difficult to compare the registration errors of ...
Yonghuai Liu, Baogang Wei, Longzhuang Li, Hong Zho...
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
This paper presents a new system for acquiring complete 3D surface models using a single structured light projector, a pair of planar mirrors, and one or more synchronized cameras...
Douglas Lanman, Daniel E. Crispell, Gabriel Taubin
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...