Using Computer Vision for Graphics


May 24, 2012


Sing Bing Kang




Creating compelling-looking content by using conventional graphics techniques is often laborious and requires significant artistry and experience. Over the past few years, I have been looking into how this content-creation process can be simplified through using computer vision techniques.

In this talk, I describe a variety of projects undertaken with this goal in mind, discussing how computer vision techniques can be used to simplify animations of Chinese paintings by analyzing brush strokes; to generate free-viewpoint videos from a small number of cameras; to produce 3-D models of plants and trees from images; and to personalize automatic enhancements of photographs.


Sing Bing Kang

Sing Bing Kang is a principal researcher at Microsoft Research. His areas of interest are computer vision and computer graphics, specifically image-based modeling along with image and video enhancement. Sing Bing has co-authored two books, Image-Based Rendering and Image-Based Modeling of Plants and Trees, and co-edited two others, Panoramic Vision and Emerging Topics in Computer Vision. He has served as area chair and a member of the technical committee for the major computer vision conferences (ICCV, CVPR, ECCV), and is also a member of the papers committee for SIGGRAPH and SIGGRAPH Asia. Sing Bing was program chair for ACCV 2007 and CVPR 2009. He is currently associate editor-in-chief for IEEE Transactions on Pattern Recognition and Machine Intelligence, and was recently elevated to IEEE fellow (class of 2012). He received his PhD in robotics from Carnegie Mellon University.