Paper Info
Title
Synchronized partial-body motion graphs
Abstract
Motion graphs are regarded as a promising technique for interactive applications. However, the graphs are generated based on the distance metric of whole body, which produce a limit set of possible transitions. In this paper, we present an automatic method to construct a new data structure that specifies transitions and correlations between partial-body motions, called Synchronized Partial-body Motion Graphs (SPbMGs). We exploit the similarity between lower-body motions to create synchronization conditions with upper-body motions. Under these conditions, we generate all possible transitions between partial-body motions. The proposed graph representation not only maximizes the reusability of motion data, but also increases the connectivity of motion graphs while retaining the quality of motion.
Year
DOI
Venue
2010
10.1145/1899950.1899978
SIGGRAPH ASIA (Sketches)
Keywords
Field
DocType
motion data,lower-body motion,partial-body motion,synchronized partial-body motion graphs,synchronized partial-body motion graph,upper-body motion,interactive application,new data structure,automatic method,motion graph,possible transition,normal map,distance metric,data structure,graph representation,limit set
Topology,Data structure,Graph,Computer vision,Synchronization,Computer science,Normal mapping,Metric (mathematics),Artificial intelligence,Limit set,Graph (abstract data type)
Conference
Citations 
PageRank 
References 
2
0.41
7
Authors
4
Name
Order
Citations
PageRank
William W. L. Ng141.15
Clifford Sze-tsan Choy2758.03
Daniel Pak-Kong Lun326641.09
Lap-pui Chau4121898.45