Human Motion Synthesis Based on Block Principal Component Analysis
Miaoyan Li · Jisuanji gongcheng · 2013
Human motion analysis based on traditional dimensional reduction methods often overstresses topology preservation and reconstruction precision which results in incomprehensible low-dimensional subspaces.To solve this problem,this paper proposes a Block Principal Component Analysis(BPCA) based method to analyze motion capture data and further synthesize human motions interactively.By applying BPCA to different body parts,low-dimensional motion parameters which are semantically meaningful can be obtained.Taking jumping motion as the example,experimental results show that by intuitively adjusting these motion parameters,desired new motions can be generated in real-time.