Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation

Frederic Garcia, Bjorn Ottersten

2015

Abstract

This paper presents a practical and robust approach for upright human curve-skeleton extraction. Curveskeletons are object descriptors that represent a simplified version of the geometry and topology of a 3-D object. The curve-skeleton of a human-scanned point set enables the approximation of the underlying skeletal structure and thus, to estimate the body configuration (human pose). In contrast to most curve-skeleton extraction methodologies from the literature, we herein propose a real-time curve-skeleton extraction approach that applies to scanned point clouds, independently of the object’s complexity and/or the amount of noise within the depth measurements. The experimental results show the ability of the algorithm to extract a centered curve-skeleton within the 3-D object, with the same topology, and with unit thickness. The proposed approach is intended for real world applications and hence, it handles large portions of data missing due to occlusions, acquisition hindrances or registration inaccuracies.

References

  1. (2014). Point Cloud Library (PCL). http://pointclouds.org/.
  2. (2014). TF3DMTM. http://tf3dm.com/.
  3. (2014). Virtual robot experimentation platform (v-rep). http://www.coppeliarobotics.com/.
  4. Au, O. K.-C., Tai, C.-L., Chu, H.-K., Cohen-Or, D., and Lee, T.-Y. (2008). Skeleton extraction by mesh contraction. In ACM SIGGRAPH 2008 Papers, pages 44:1-44:10. ACM.
  5. Bradski, G. and Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV Library. O'Reilly Media, 1st edition.
  6. Cao, J., Tagliasacchi, A., Olson, M., Zhang, H., and Su, Z. (2010). Point Cloud Skeletons via Laplacian Based Contraction. In Shape Modeling International Conference (SMI), pages 187-197.
  7. Cornea, N., Silver, D., and Min, P. (2007). Curve-skeleton properties, applications, and algorithms. IEEE Transactions on Visualization and Computer Graphics, 13(3):530-548.
  8. Felzenszwalb, P. F. and Huttenlocher, D. P. (2004). Distance transforms of sampled functions. Technical report, Cornell Computing and Information Science.
  9. Fitzgibbon, A. and Fisher, R. B. (1995). A buyer's guide to conic fitting. In In British Machine Vision Conference, pages 513-522.
  10. Garcia, F. and Ottersten, B. (2014). CPU-Based Real-Time Surface and Solid Voxelization for Incomplete Point Cloud. In IEEE International Conference on Pattern Recognition (ICPR), pages 2757-2762.
  11. Li, M., Yang, T., Xi, R., and Lin, Z. (2009). Silhouettebased 2d human pose estimation. In International Conference on Image and Graphics (ICIG), pages 143-148.
  12. Sam, V., Kawata, H., and Kanai, T. (2012). A robust and centered curve skeleton extraction from 3d point cloud. Computer-Aided Design and Applications, 9(6):969-879.
  13. Sezgin, M. and Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging, 13(1):146- 168.
  14. Suzuki, S. and Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1):32-46.
  15. Tagliasacchi, A., Zhang, H., and Cohen-Or, D. (2009). Curve skeleton extraction from incomplete point cloud. In ACM SIGGRAPH 2009 Papers, SIGGRAPH 7809, pages 71:1-71:9. ACM.
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Paper Citation


in Harvard Style

Garcia F. and Ottersten B. (2015). Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 54-60. DOI: 10.5220/0005298300540060


in Bibtex Style

@conference{visapp15,
author={Frederic Garcia and Bjorn Ottersten},
title={Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={54-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005298300540060},
isbn={978-989-758-090-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation
SN - 978-989-758-090-1
AU - Garcia F.
AU - Ottersten B.
PY - 2015
SP - 54
EP - 60
DO - 10.5220/0005298300540060