MOTION RECOVERY BASED ON FEATURE EXTRACTION FROM 2D IMAGES
Jianhui Zhao, Ling Li, Kwoh Chee Keong · Kluwer Academic Publishers eBooks · 2006
This paper presents a method for motion recovery from monocular images containing human motions. Image processing techniques, such as spatial filter, linear prediction, cross correlation, least square matching etc, are applied to extract feature points from 2D human figures with or without markers. A 3D skeleton human model is adopted with encoded angular constraints. Energy Function is defined to represent the residuals between extracted feature points and the corresponding points resulted from projecting the human model to the projection plane. Then a procedure for motion recovery is developed, which makes it feasible to generate realistic human animations