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Article

Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint

1
Department of Engineering, University of Fukui, Fukui 910-8507, Japan
2
Faculty of Engineering, Iwate University, Iwate 020-8550, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Daeeun Kim
Sensors 2021, 21(8), 2775; https://doi.org/10.3390/s21082775
Received: 3 March 2021 / Revised: 12 April 2021 / Accepted: 13 April 2021 / Published: 14 April 2021
(This article belongs to the Section Intelligent Sensors)
In this paper, we propose a method to detect Braille blocks from an egocentric viewpoint, which is a key part of many walking support devices for visually impaired people. Our main contribution is to cast this task as a multi-objective optimization problem and exploits both the geometric and the appearance features for detection. Specifically, two objective functions were designed under an evolutionary optimization framework with a line pair modeled as an individual (i.e., solution). Both of the objectives follow the basic characteristics of the Braille blocks, which aim to clarify the boundaries and estimate the likelihood of the Braille block surface. Our proposed method was assessed by an originally collected and annotated dataset under real scenarios. Both quantitative and qualitative experimental results show that the proposed method can detect Braille blocks under various environments. We also provide a comprehensive comparison of the detection performance with respect to different multi-objective optimization algorithms. View Full-Text
Keywords: Braille block detection; egocentric vision; multi-objective optimization Braille block detection; egocentric vision; multi-objective optimization
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MDPI and ACS Style

Takano, T.; Nakane, T.; Akashi, T.; Zhang, C. Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint. Sensors 2021, 21, 2775. https://doi.org/10.3390/s21082775

AMA Style

Takano T, Nakane T, Akashi T, Zhang C. Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint. Sensors. 2021; 21(8):2775. https://doi.org/10.3390/s21082775

Chicago/Turabian Style

Takano, Tsubasa, Takumi Nakane, Takuya Akashi, and Chao Zhang. 2021. "Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint" Sensors 21, no. 8: 2775. https://doi.org/10.3390/s21082775

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