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International Conference on Smart Objects and Technologies for Social Good

GOODTECHS 2016: Smart Objects and Technologies for Social Good pp 145–154Cite as

Computer Vision for the Blind: A Comparison of Face Detectors in a Relevant Scenario

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Abstract

Motivated by the aim of developing a vision-based system to assist the social interaction of blind persons, the performance of some face detectors are evaluated. The detectors are applied to manually annotated video sequences acquired by blind persons with a glass-mounted camera and a necklace-mounted one. The sequences are relevant to the specific application and demonstrate to be challenging for all the considered detectors. A further analysis is performed to reveal how the performance is affected by some features such as occlusion, rotations, size and position of the face within the frame.

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Notes

  1. 1.

    https://developers.google.com.

  2. 2.

    http://www.openpr.org.cn/index.php/107-NPD-Face-Detector/View-details.html.

  3. 3.

    https://github.com/nenadmarkus/pico.

  4. 4.

    https://visagetechnologies.com/products-and-services/visagesdk/.

  5. 5.

    We did not change the default parameters on purpose, for two reasons: first, some detectors have fixed parameters and second, the choice of default parameters made by the authors of the detector may reflect a compromise between various aspects of performance that we are not aware of.

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Acknowledgment

This work has been supported by the University of Trieste - Finanziamento di Ateneo per progetti di ricerca scientifica - FRA 2014, and by a private donation in memory of Angelo Soranzo (1939–2012).

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Authors and Affiliations

  1. Department of Engineering and Architecture, University of Trieste, Trieste, Italy

    Marco De Marco, Gianfranco Fenu, Eric Medvet & Felice Andrea Pellegrino

Authors
  1. Marco De Marco
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  2. Gianfranco Fenu
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  3. Eric Medvet
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  4. Felice Andrea Pellegrino
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Corresponding author

Correspondence to Felice Andrea Pellegrino .

Editor information

Editors and Affiliations

  1. Università degli Studi di Padova, Padua, Italy

    Ombretta Gaggi

  2. Universitat Politècnica de Valéncia, Valencia, Spain

    Pietro Manzoni

  3. Dipartimento di Matematica, Università degli Studi di Padova, Padua, Italy

    Claudio Palazzi

  4. Università degli Studi di Padova, Padua, Italy

    Armir Bujari

  5. Trinity College Dublin, Dublin, Ireland

    Johann M. Marquez-Barja

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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De Marco, M., Fenu, G., Medvet, E., Pellegrino, F.A. (2017). Computer Vision for the Blind: A Comparison of Face Detectors in a Relevant Scenario. In: Gaggi, O., Manzoni, P., Palazzi, C., Bujari, A., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-319-61949-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-61949-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61948-4

  • Online ISBN: 978-3-319-61949-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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