Computer Science Research
Acquiring 3D Shapes and Models from Image sequences of objects
Recent progress in multimedia, information networks, and virtual reality raise new requirements of modeling 3D objects. Such objects can be commercial products, industrial parts, folk art, sculptures, antiques and archaeological finds, etc. New display tools, for example VRML, have also been available for viewing objects via network. How to input 3D models of objects conveniently and stably thus becomes a challenging problem. Although various laser range finders have been developed for measuring 3D shape, they are still too expensive and object specific. We select video camera as the input device for 3D modeling because it has been widely used even in family. Our objective is: receiving a standard image sequence through network from a user or an image sequence recorded in a video tape, we construct 3D models and return the data to the user. To make reconstruction process robust, we fix the way of taking images rather than just waving the camera in the space and solving a general problem. We rotate an object around an axis and take an image sequence in the direction orthogonal to the axis. The rotation angle is controllable or measured in the images. This camera setting is easy to be achieved. It not only simplifies the algorithms of shape recovery, but also creates an intrinsic circumstance for investigating natures of different visual cues. We have studied shape recovery on each rotation plane using contour, highlight, edge, and shading according to their motions in the corresponding epipolar plane image. We explored how to combine their results for a complete model.
Project Presented By
Zheng, Jiang Yu
Education Details
| BS: | Computer Science Fudan University 1983 |
| MS: | Control Engineering Osaka University 1987 |
| PhD: | Control Engineering Osaka University 1990 |
Research Interests
Dr. Zheng earned his B.S. degree from Fudan University, China, in 1983, and his M.S. and Ph.D. degrees from Osaka University in Japan in 1987 and 1990, respectively. He was with ATR Communication Systems Research Laboratory as a research associate from 2000-2003. He then worked at Kyushu Institute of Technology, Japan, from 1993 to 2001 as an associate professor. He specializes in the areas of image, vision, graphics, virtual reality, multimedia, and the internet. His current research interests include 3D Modeling, Dynamic Image Processing, scene representation, digital museums, and combining vision with graphics and human interface. Dr. Zheng received 1991 Best Paper Award from the Information Processing Society of Japan for generating the world's first digital panoramic image. He also received the Excellent Paper Award from the Japan Society of Art and Science in 2000 for his development of a graphics tool to extract human motion from video. He is a senior member of IEEE, and adjunct professor in Beijing University, China.
