An Animation Synthesis System based on 2D Skeleton Structures of Images

• Main Authors: Yu Chi-Jr, 余岐智
• Other Authors: Chen Liu-Hen
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/40483566302778473089

碩士 === 國立暨南國際大學 === 資訊工程學系 === 90 === Together with the miniaturization of digital image capture devices and the integration of digit camera into cellular phones, there are enormous photograph images around us. The research purpose of this paper is developing an animation synthesis system to further utilize the above-mentioned image materials effectively, and produce interesting and vivid animation effects in a natural and simple way. However, reconstructing the 3D models by using only 2D images is still a very difficult task. Also, building the virtual reality world by the traditional computer graphics methods is a highly time-consuming task. For the above problems, the image-based rendering technology provides an elegant approximate solution. Basically, the required image of arbitrary viewing position and direction is synthesized by morphing two or multiple pre-captured images at some determined camera positions. Applying the image morphing technology does not only reduce the expensive cost of world construction, but also overcome the discontinuity drawback of the pre-captured image sequence. However, if the morphing results fail to preserve the original shape of objects, it will cause a fake construction, especially when the target object is artifact. In this research, we propose a simple shape-preserving image morphing method to produce frames of animation of images. First, the skeleton structures of the pre-captured images are extracted. The skeletonization is a process for reducing foreground regions in a digital image to a skeletal remnant that largely preserves the properties of the original region while discarding most of the original foreground pixels. We use the Discrete Voronoi Skeletons [1] proposed by Robert L. Ogniewigz to build object’s skeleton. After the pre-captured images are analyzed, the skeletons data structure of the required image are applied some forward kinematics motion patterns like walking or running. Finally, the reasonable result images are synthesized by feature-based image morphing technique.