17 citations · 77 across the 17 of their papers we have counts for
3 papers · 1 filter
SLRMA: Sparse Low-Rank Matrix Approximation for Data Compression
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Low-rank matrix approximation (LRMA) is a powerful technique for signal processing and pattern analysis. However, its potential for data compression has not yet been fully investig…
Low-latency compression of mocap data using learned spatial decorrelation transform
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Due to the growing needs of human motion capture (mocap) in movie, video games, sports, etc., it is highly desired to compress mocap data for efficient storage and transmission. Th…
Constructing Intrinsic Delaunay Triangulations from the Dual of Geodesic Voronoi Diagrams
Yong-Jin Liu, Chun-Xu Xu, Dian Fan +1
Intrinsic Delaunay triangulation (IDT) is a fundamental data structure in computational geometry and computer graphics. However, except for some theoretical results, such as existe…