Thomas Helten

Affiliations:

Max Planck Institute for Informatics, Saarbrücken, Germany

According to our database¹, Thomas Helten authored at least 10 papers between 2010 and 2017.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2017

Building statistical shape spaces for 3D human modeling.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

2014

Efficient Multi-view Performance Capture of Fine-Scale Surface Detail.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Processing and tracking human motions using optical, inertial, and depth sensors.

[BibT_eX]

[DOI]

Thomas Helten

PhD thesis, 2013

Real-Time Body Tracking with One Depth Camera and Inertial Sensors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Full-Body Human Motion Capture from Monocular Depth Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on 3D Vision, 2013

2011

Motion reconstruction using sparse accelerometer data.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2011

Towards Cross-Modal Comparison of Human Motion Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010

Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors.

[BibT_eX]

[DOI]

Proceedings of the Trends and Topics in Computer Vision, 2010

Multisensor-fusion for 3D full-body human motion capture.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Thomas Helten

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