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A Comparison of Directional Distances for Hand Pose Estimation


Conference Paper


Benchmarking methods for 3d hand tracking is still an open problem due to the difficulty of acquiring ground truth data. We introduce a new dataset and benchmarking protocol that is insensitive to the accumulative error of other protocols. To this end, we create testing frame pairs of increasing difficulty and measure the pose estimation error separately for each of them. This approach gives new insights and allows to accurately study the performance of each feature or method without employing a full tracking pipeline. Following this protocol, we evaluate various directional distances in the context of silhouette-based 3d hand tracking, expressed as special cases of a generalized Chamfer distance form. An appropriate parameter setup is proposed for each of them, and a comparative study reveals the best performing method in this context.

Author(s): Dimitrios Tzionas and Juergen Gall
Book Title: German Conference on Pattern Recognition (GCPR)
Volume: 8142
Pages: 131--141
Year: 2013

Series: Lecture Notes in Computer Science
Editors: Weickert, Joachim and Hein, Matthias and Schiele, Bernt
Publisher: Springer

Department(s): Perceiving Systems
Research Project(s): Hands in Action
Learning from Synthetic Data
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1007/978-3-642-40602-7_14

URL: http://dx.doi.org/10.1007/978-3-642-40602-7_14

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  title = {A Comparison of Directional Distances for Hand Pose Estimation},
  author = {Tzionas, Dimitrios and Gall, Juergen},
  booktitle = {German Conference on Pattern Recognition (GCPR)},
  volume = {8142},
  pages = {131--141},
  series = {Lecture Notes in Computer Science},
  editors = {Weickert, Joachim and Hein, Matthias and Schiele, Bernt},
  publisher = {Springer},
  year = {2013},
  url = {http://dx.doi.org/10.1007/978-3-642-40602-7_14}