Stereo vision based distance estimation and logo recognition for the visually impaired

Mehmet Biberci; Ulug Bayazit

doi:10.1007/978-3-319-94274-2_11

Stereo vision based distance estimation and logo recognition for the visually impaired

Mehmet Biberci^*, Ulug Bayazit

^*Corresponding author for this work

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Interpreting images to compute properties of the 3D world is a significant matter of computer vision. Therefore computer vision applications can help people requiring assistance. This paper presents a novel stereo-vision-based perception and navigation approach to assist visually impaired people. Frontal view images of stores in a shopping mall are first searched for logo recognition. Distances to the found logos (store signboards) are estimated by stereo matching. Both logo recognition and stereo matching are based on local image features (keypoint descriptors) calculated via Speeded Up Robust Features (SURF) algorithm. Final refined distances are calculated via statistical filtering and averaging of the individual keypoint distances found by matched keypoint pairs. Experimental results on our self generated stereo dataset of 28 storefront images from various distances and viewpoints demonstrate the performance of the proposed approach.

Original language	English
Title of host publication	Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings
Editors	Klaus Miesenberger, Georgios Kouroupetroglou
Publisher	Springer Verlag
Pages	70-77
Number of pages	8
ISBN (Print)	9783319942735
DOIs	https://doi.org/10.1007/978-3-319-94274-2_11
Publication status	Published - 2018
Event	16th International Conference on Computers Helping People with Special Needs, ICCHP 2018 - Linz, Austria Duration: 11 Jul 2018 → 13 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10897 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Computers Helping People with Special Needs, ICCHP 2018
Country/Territory	Austria
City	Linz
Period	11/07/18 → 13/07/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Blind navigation
Distance estimation
Logo recognition
Stereo vision
SURF

Access to Document

10.1007/978-3-319-94274-2_11

Cite this

Biberci, M., & Bayazit, U. (2018). Stereo vision based distance estimation and logo recognition for the visually impaired. In K. Miesenberger, & G. Kouroupetroglou (Eds.), Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings (pp. 70-77). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10897 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-94274-2_11

Biberci, Mehmet ; Bayazit, Ulug. / Stereo vision based distance estimation and logo recognition for the visually impaired. Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings. editor / Klaus Miesenberger ; Georgios Kouroupetroglou. Springer Verlag, 2018. pp. 70-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Stereo vision based distance estimation and logo recognition for the visually impaired",

abstract = "Interpreting images to compute properties of the 3D world is a significant matter of computer vision. Therefore computer vision applications can help people requiring assistance. This paper presents a novel stereo-vision-based perception and navigation approach to assist visually impaired people. Frontal view images of stores in a shopping mall are first searched for logo recognition. Distances to the found logos (store signboards) are estimated by stereo matching. Both logo recognition and stereo matching are based on local image features (keypoint descriptors) calculated via Speeded Up Robust Features (SURF) algorithm. Final refined distances are calculated via statistical filtering and averaging of the individual keypoint distances found by matched keypoint pairs. Experimental results on our self generated stereo dataset of 28 storefront images from various distances and viewpoints demonstrate the performance of the proposed approach.",

keywords = "Blind navigation, Distance estimation, Logo recognition, Stereo vision, SURF",

author = "Mehmet Biberci and Ulug Bayazit",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 16th International Conference on Computers Helping People with Special Needs, ICCHP 2018 ; Conference date: 11-07-2018 Through 13-07-2018",

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doi = "10.1007/978-3-319-94274-2_11",

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Biberci, M & Bayazit, U 2018, Stereo vision based distance estimation and logo recognition for the visually impaired. in K Miesenberger & G Kouroupetroglou (eds), Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10897 LNCS, Springer Verlag, pp. 70-77, 16th International Conference on Computers Helping People with Special Needs, ICCHP 2018, Linz, Austria, 11/07/18. https://doi.org/10.1007/978-3-319-94274-2_11

Stereo vision based distance estimation and logo recognition for the visually impaired. / Biberci, Mehmet; Bayazit, Ulug.
Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings. ed. / Klaus Miesenberger; Georgios Kouroupetroglou. Springer Verlag, 2018. p. 70-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10897 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bayazit, Ulug

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

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N2 - Interpreting images to compute properties of the 3D world is a significant matter of computer vision. Therefore computer vision applications can help people requiring assistance. This paper presents a novel stereo-vision-based perception and navigation approach to assist visually impaired people. Frontal view images of stores in a shopping mall are first searched for logo recognition. Distances to the found logos (store signboards) are estimated by stereo matching. Both logo recognition and stereo matching are based on local image features (keypoint descriptors) calculated via Speeded Up Robust Features (SURF) algorithm. Final refined distances are calculated via statistical filtering and averaging of the individual keypoint distances found by matched keypoint pairs. Experimental results on our self generated stereo dataset of 28 storefront images from various distances and viewpoints demonstrate the performance of the proposed approach.

AB - Interpreting images to compute properties of the 3D world is a significant matter of computer vision. Therefore computer vision applications can help people requiring assistance. This paper presents a novel stereo-vision-based perception and navigation approach to assist visually impaired people. Frontal view images of stores in a shopping mall are first searched for logo recognition. Distances to the found logos (store signboards) are estimated by stereo matching. Both logo recognition and stereo matching are based on local image features (keypoint descriptors) calculated via Speeded Up Robust Features (SURF) algorithm. Final refined distances are calculated via statistical filtering and averaging of the individual keypoint distances found by matched keypoint pairs. Experimental results on our self generated stereo dataset of 28 storefront images from various distances and viewpoints demonstrate the performance of the proposed approach.

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KW - Distance estimation

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M3 - Conference contribution

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SN - 9783319942735

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings

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ER -

Biberci M, Bayazit U. Stereo vision based distance estimation and logo recognition for the visually impaired. In Miesenberger K, Kouroupetroglou G, editors, Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings. Springer Verlag. 2018. p. 70-77. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-94274-2_11

Stereo vision based distance estimation and logo recognition for the visually impaired

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this