Courses

Depth Cameras for Computer Graphics

Saturday, 01 December 14:15-18:00 | Garnet 212

Depth cameras become increasingly popular in recent years. Ranging from interactive 3D game to photorealistic scene modeling, depth cameras present the great potentials toward many applications thanks to the advancement in sensing technology and the afforable price. Although depth cameras are actively adopted onto various research problems in computer graphics, many researchers are employing depth sensors without in depth understanding of their characteristics. In this tutorial, we introduce various depth cameras with their basic principle of depth sensing mechanism and analyze its performance and characteristics. Then, we will address the challenges in the use of depth cameras and practical issues for computer graphics applications. More importantly, we will discuss the potentials and limitations of depth cameras in the applications of computer graphics. This tutorial will be organized as follows; principle of various depth cameras, graphics applications with depth cameras, research issues (challenges/limitations) in the use of depth cameras and corresponding the state-of-art algorithms, potentials for new applications.

Level
Beginner



Intended Audience
This tutorial will be a good starting point for new researchers in the field of computer graphics who are considering depth image for their work.



Prerequisites
The audience is expected to take a basic computer graphics course offered in college.



Presenter(s)
Hyunjung Shim, Samsung Advanced Institute of Technology
Seungkyu Lee, Samsung Advanced Institute of Technology
Hwasup Lim, Korea Institute of Science and Technology

Dr. Hyunjung Shim received her Ph.D and M.S degree in Electrical and Computer Engineering from Carnegie Mellon University, US. She is currently a research scientist in Samsung Advanced Institute of Technology, Samsung Electronics. Her research interests include 3D modeling & reconstruction, inverse lighting/reflectometry, face modeling, image-based relighting and rendering.

Dr. Seungkyu Lee received his Ph.D degree in Computer Science & Engineering from Penn State University, US. He has been a research engineer in Korea Broadcasting System Technical Research Institute where he carried out research on HD image processing, MPEG4-AVC and the standardization of Terrestrial-Digital Mobile Broadcasting. He is currently a principal research scientist, Advanced Media Lab., Samsung Advanced Institute of Technology. His research interests include color/depth image processing, symmetry-based computer vision and 3D modeling & reconstruction.

Dr. Hwasup Lim received Ph.D. degree in Electrical Engineering from the Pennsylvania State University in 2007. He was a R&D staff member at Advanced Media Lab, Samsung Advanced Institute of Technology (SAIT) from 2007 to 2011, where his research focused on TOF depth image processing and 3D human modeling & tracking. He is currently a senior research scientist at Imaging Media Research Center, Korea Institute of Science and Technology (KIST). His research interests include RGBD image-based 3D modeling, hand tracking, and object recognition.