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Estimating the Dominant Orientation of an Object Using Image Segmentation and Principal Component Analysis

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Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

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Abstract

An object’s orientation can often be a hurdle in computer vision applications. Assuming the object has a major axis, i.e., is longer in one of its dimensions than in others, the object’s dominant orientation can be found. Knowing and compensating for an object’s orientation may simplify processes such as recognition, segmentation, template matching, etc. However, solving this problem with no prior knowledge of the object’s properties is not trivial. A solution is proposed which uses an image segmentation process that requires minimal prior information of the object, followed by feature extraction, and finally principal component analysis. Once the object’s orientation is computed, one can easily rotate the image as needed.

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Author information

Authors and Affiliations

  1. Partpic, Inc., 1040 W Marietta St. NW, Atlanta, GA, 30318, USA

    Sravan Bhagavatula & Nashlie Sephus

Authors
  1. Sravan Bhagavatula
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  2. Nashlie Sephus
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Corresponding author

Correspondence to Sravan Bhagavatula .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Bhagavatula, S., Sephus, N. (2015). Estimating the Dominant Orientation of an Object Using Image Segmentation and Principal Component Analysis. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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