Dynamic 2D/3D Registration for the Kinect

Thursday, July 25, 2013 - 9:00am to 10:30am
Anaheim Convention Center
Room 304 A-D

Image and geometry registration algorithms are essential componens of many computer graphics and computer vision systems. With recent technological advances in RGB-D sensors, robust algorithms that combine 2D image and 3D geometry registration have become an active area of research.

This course introduces the basics of 2D/3D registration algorithms and provides theoretical explanations and practical tools for designing computer vision and computer graphics systems based on RGB-D devices such as the Microsoft Kinect or Asus Xtion Live. To illustrate the theory and demonstrate practical relevance, the course briefly discusses three applications: rigid scanning, non-rigid modeling, and real-time face tracking.

9 am

9:05 am
2D/3D Registration
- 3D Registration
- 2D Registration
- Putting It All Together

9:55 am
- Rigid Scanning
- Non-rigid Modeling
- Real-Time Face Tracking

10:25 am
Outlook and Questions and Answers




No previous knowledge beyond basic math and geometry.

Intended Audience

Active researchers and computer graphics practitioners with a background in computer graphics and/or computer vision.


Sofien Bouaziz
École polytechnique fédérale de Lausanne

Mark Pauly
École polytechnique fédérale de Lausanne