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Compressive scanning of an object signature

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Abstract

In this paper we explore the utility of compressive sensing for object signature generation in the optical domain. In the data acquisition stage we use laser scanning to obtain a small (sub-Nyquist) number of points of an object’s boundary. This is used to construct the signature, thereby enabling object identification, reconstruction, and, image data compression. We refer to this framework as compressive scanning of objects’ signatures. The main contributions of the paper are the following: (1) we use this framework to replace parts of the digital processing with optical processing and present one possible implementation, (2) the use of compressive scanning reduces laser data obtained and maintains high reconstruction accuracy, and (3) we show that using compressive sensing can lead to a reduction in the amount of stored data without significantly affecting the utility of this data for image recognition and image compression.

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA

    Jonathan I. Tamir

  2. Department of Computer Science, Texas State University, San Marcos, TX, 78666, USA

    Dan E. Tamir

  3. Department of Physics, Texas State University, San Marcos, TX, 78666, USA

    Wilhelmus J. Geerts

  4. Department of Computer Science, Ben-Gurion University of the Negev, P.O. Box 653 , 84105 , Beer-Sheva, Israel

    Shlomi Dolev

Authors
  1. Jonathan I. Tamir
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  2. Dan E. Tamir
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  3. Wilhelmus J. Geerts
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  4. Shlomi Dolev
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Correspondence to Dan E. Tamir.

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Tamir, J.I., Tamir, D.E., Geerts, W.J. et al. Compressive scanning of an object signature. Nat Comput 14, 457–467 (2015). https://doi.org/10.1007/s11047-014-9460-7

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  • DOI: https://doi.org/10.1007/s11047-014-9460-7

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