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

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings
Editörler	Klaus Miesenberger, Georgios Kouroupetroglou
Yayınlayan	Springer Verlag
Sayfalar	70-77
Sayfa sayısı	8
ISBN (Basılı)	9783319942735
DOI'lar	https://doi.org/10.1007/978-3-319-94274-2_11
Yayın durumu	Yayınlandı - 2018
Etkinlik	16th International Conference on Computers Helping People with Special Needs, ICCHP 2018 - Linz, Austria Süre: 11 Tem 2018 → 13 Tem 2018

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	10897 LNCS
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	16th International Conference on Computers Helping People with Special Needs, ICCHP 2018
Ülke/Bölge	Austria
Şehir	Linz
Periyot	11/07/18 → 13/07/18

Bibliyografik not

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

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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); Hac. 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. editör / 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)).

@inproceedings{a695db5e2376470cbffa5720cbe64c60,

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, SURF, Stereo vision",

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",

year = "2018",

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

language = "English",

isbn = "9783319942735",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "Klaus Miesenberger and Georgios Kouroupetroglou",

booktitle = "Computers Helping People with Special Needs - 16th International Conference, ICCHP 2018, Proceedings",

address = "Germany",

}

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), hac. 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); Hac. 10897 LNCS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Stereo vision based distance estimation and logo recognition for the visually impaired

AU - Biberci, Mehmet

AU - Bayazit, Ulug

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

PY - 2018

Y1 - 2018

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.

KW - Blind navigation

KW - Distance estimation

KW - Logo recognition

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KW - Stereo vision

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

M3 - Conference contribution

AN - SCOPUS:85049778502

SN - 9783319942735

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

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EP - 77

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

A2 - Miesenberger, Klaus

A2 - Kouroupetroglou, Georgios

PB - Springer Verlag

T2 - 16th International Conference on Computers Helping People with Special Needs, ICCHP 2018

Y2 - 11 July 2018 through 13 July 2018

ER -

Biberci M, Bayazit U. Stereo vision based distance estimation and logo recognition for the visually impaired. In Miesenberger K, Kouroupetroglou G, editörler, 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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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