Andreas Baak

Affiliations:
  • Max Planck Institute for Informatics, Saarbrücken, Germany


According to our database1, Andreas Baak authored at least 11 papers between 2008 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2013
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera.
Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Retrieval-based approaches for tracking and reconstructing human motions.
PhD thesis, 2013

Full-Body Human Motion Capture from Monocular Depth Images.
Proceedings of the Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013

Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker.
Proceedings of the 2013 International Conference on 3D Vision, 2013

2011
Outdoor human motion capture using inverse kinematics and von mises-fisher sampling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A data-driven approach for real-time full body pose reconstruction from a depth camera.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors.
Proceedings of the Trends and Topics in Computer Vision, 2010

Multisensor-fusion for 3D full-body human motion capture.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Efficient and robust annotation of motion capture data.
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2009

Stabilizing motion tracking using retrieved motion priors.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
An efficient algorithm for keyframe-based motion retrieval in the presence of temporal deformations.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008


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