Computer Vision for Computer Graphics

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Real-time human pose recognition (Shotton et al., CVPR 2011)	Shading-based shape refinement (Wu et al., ICCV 2011)

Overview

Computer Vision strives to develop algorithms for understanding, interpreting, and reconstructing information about real-world scenes from image and video data.

Computer Graphics focuses on image synthesis – algorithms to build and edit static and dynamic virtual worlds and to display them in photorealistic or stylised ways.

In recent years, these fields have converged more and more since both disciplines create and exploit models describing the visual appearance of objects and scenes. In this seminar series, we will cover advanced research topics that cross the boundaries between the fields of computer vision and computer graphics. We will concentrate on recent research results that were published at top-tier conferences and journals. This seminar will cover research papers from the following problem fields:

• motion estimation and tracking,
• multi-view geometry and reconstruction,
• computational photography and videography,
• reconstruction of static and dynamic 3D scenes, and
• advanced image and video processing.

Topics

The following table lists more topics than available weeks – this is to allow some flexibility for the interests of the group to change the course structure. Once every participant has submitted their choice of topics, this list will be updated to show the presenter of each topic.

Click on each topic to show the papers to be discussed or show all papershide all papers.