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Computer Graphics, Computer Vision, Robotics

Faculty Name
Sung-Eui Yoon
Research Area
Visual Computing, AI-Information Service, Interactive Computing
Website
http://sglab.kaist.ac.kr/
E-mail
Phone
042-350-3531
Office
#3443, E3­-1
Introduction
[ link1 ]  
Video
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Introduction to the Scalable Graphics, Vision & Robotics Lab

SGVR Lab covers research areas of computer graphics, motion planning, and image retrieval. The objective of our research is to design and process efficient and scalable visual data. The more complex data with high quality is generated thanks to prevalence of smart devices, the more important techniques to handle them rapidly become. To address those issues, SGVR Lab is mainly interested in the following three areas: (1)scalable rendering, (2)motion planning, and (3)image retrieval.

Scalable rendering
We study frameworks using CPU/GPU for massive model rendering in real time, and filtering methods for photo-realistic rendering.

Motion planning
We study path generation of robotics to sense surrounding environments, avoid obstacles, control without human-aided. We also focus on optimization, convergence, and uncertainty of path generation.

Image retrieval
We study how to search similar images in large-scale database, including millions or billions of images. The main topics are compression of visual data and similarity computation for retrieval.

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