Title :
Clustering poses of motion capture data using limb centroids
Author :
Balci, Koray ; Akarun, Lale
Author_Institution :
Comput. Eng. Dept., Bogazici Univ., Istanbul
Abstract :
With increasing popularity of using motion capture hardware for motion synthesis, studies that exploit large motion databases for faster indexing and retrieval become more important. Here, an automated procedure to analyze motion databases and cluster poses according to various feature vectors is presented. We propose the use of limb centroids as an alternative feature vector. Limb centroids have a smaller size compared to standard alternatives, thus time complexity is reduced while satisfactory clusters are achieved when used with our iterative clustering procedure. In addition, along with two different metrics to evaluate formed clusters, we also propose pose clouds for visualization and perceptual analysis.
Keywords :
computational complexity; computer animation; data visualisation; feature extraction; image motion analysis; iterative methods; pattern clustering; pose estimation; visual databases; character animation; feature vector; iterative clustering procedure; large motion database; limb centroid; motion capture hardware; motion synthesis; perceptual analysis; pose clustering; time complexity; visualization analysis; Animation; Clouds; Data analysis; Data engineering; Hardware; Indexing; Information retrieval; Motion analysis; Spatial databases; Visualization;
Conference_Titel :
Computer and Information Sciences, 2008. ISCIS '08. 23rd International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2880-9
Electronic_ISBN :
978-1-4244-2881-6
DOI :
10.1109/ISCIS.2008.4717933