Eye-Contact for Video Conferencing Using Image Synthesis Based on Multi-Cameras
Date Issued
2007
Date
2007
Author(s)
Ger, Yow-Jia
DOI
en-US
Abstract
In recent years, network is becoming more and more popular, and video conferencing and real time chat rooms are very common. However, eye contact problem still remains in our daily life. Without eye contact, people may feel very weird and not being noticed. In our work, we propose a system with layer image processing. Using two stereo cameras, which are pre-calibrated, we can synthesize quickly and get images with eye contact. In some previous works, eye contact can be generated with time consuming works or with some hardware support. In our work this can be done by software implement and near real time images can be synthesized. We use background segmentation to get the foreground part, which can help us concentrate on our ROI. Then we use Adaboost and mean shift to help us locate where the user’s face is. With the foreground information and the face location, we can improve our calculation time and get a better result. Finally, 3 layers of images – background, virtual foreground, and virtual face – will be put together to complete our synthesized image with eye contact.
Subjects
找尋對應點
逆向映像
影像去背
人臉偵測
人臉追蹤
eye-contact
stereo matching
background segmentation
face detection
face tracking
Type
thesis
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