Faculty
Name:Chih-Yuan Yao
Department:Computer Science and Information Engineering
Office:RB501Phone:02-27376936
Email:cyuan.yao@gmail.com
Research Interest:

Computer graphics, including mesh processing and modeling, and non-photorealistic rendering (NPR).

Detail

Name:Yu-Chi Lai
Department:Computer Science and Information Engineering
Office:E1-222-3Phone:+886-2-2730-3665
Email:cheeryuchi@gmail.com
Research Interest:

Computer Graphics, Computer Games and Computer Vision

Detail

Name:Kai-Lung Hua
Department:Computer Science and Information Engineering
Office:E1-222-4Phone:+886-2-2730-3664
Email:hua@mail.ntust.edu.tw
Research Interest:

Digital Image and Video Processing, Computer Vision, Multimedia Networking

Detail

Name:Da-Yuan Huang
Department:Computer Science and Information Engineering
Office:- Phone:1-603-359-1868
Email:dayuan.huang.tw@gmail.com
Research Interest:
Human-Computer Interaction, Intenet of Things Interface, and Wearable Interface. 

Detail

Name:Shanq-Jang Ruan
Department:Electronic and Computer Engineering
Office:IB 715Phone:+886-2-2737-6411
Email:sjruan@mail.ntust.edu.tw
Research Interest:

Energey-Efficient Image Processing, Low power EDA/VLSI, Embedded Systems Design 

Detail

Name:Chang Hong Lin
Department:Department of Electronic and Computer Engineering
Office:IB-701-1Phone:+886-2-2737-6397
Email:chlin@mail.ntust.edu.tw
Research Interest:
Real-time human action analysis, power and thermal-aware VLSI design, distributed smart cameras, service-oriented architecture, next generation computer architecture

Detail

Research Projects
Title:Motion Capture and Camera Manipulaion
Description:Motion capture is an important technique for animation. However, it requires expensive equipment to achieve precision. This project focuses on capturing the human motion suing simple and cheap depth sensors. Furthermore, the motion of camera can be used to manipulate a virtual camera for camera planning.

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Title:Background Extraction
Description:Background extraction is generally the first step for many computer vision and augmented reality applications. Most existing methods, which assume a clean background shot, are not suitable for video sequences such as highway traffic videos containing complex foreground movements which may not have a clean background shot. Therefore, this projects focuses on developing algorithms for robust background extraction.

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Title:College Student Projects
Description:College students can join different kinds of projects

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Course