Detection of shapes in 2D point clouds generated from images

Jingyong Su, Zhiqiang Zhu, Anuj Srivastava, Fred Huffer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We present a novel statistical framework for detecting pre-determined shape classes in 2D cluttered point clouds, which are in turn extracted from images. In this model-based approach, we use a 1D Poisson process for sampling points on shapes, a 2D Poisson process for points from background clutter, and an additive Gaussian model for noise. Combining these with a past stochastic model on shapes of continuous 2D contours, and optimization over unknown pose and scale, we develop a generalized likelihood ratio test for shape detection. We demonstrate the efficiency of this method and its robustness to clutter using both simulated and real data.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages2640-2643
Number of pages4
DOIs
StatePublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: Aug 23 2010Aug 26 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period08/23/1008/26/10

Keywords

  • Generalized likelihood ratio test
  • Poisson process
  • Shape detection

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  • Cite this

    Su, J., Zhu, Z., Srivastava, A., & Huffer, F. (2010). Detection of shapes in 2D point clouds generated from images. In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 2640-2643). [5595794] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.647