Using Computer Vision for Graphics

Date

May 24, 2012

Overview

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.

Speakers

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.

People

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