Object Recognition Support
Object Recognition Support is a computational method designed to enhance accessibility in augmented reality by enabling systems to identify and interpret real-world objects, thereby providing contextual assistance to users with sensory or cognitive impairments.
18
Publications
650
Citations
70
Authors
28
Institutions
Publications per year
2017–2026
4
18
Object recognition supported by user interaction for service robots
Yasushi Makihara, Masao Takizawa, Y. Shirai et al. · 2003 · 111 citations
ReCog: Supporting Blind People in Recognizing Personal Objects
Dragan Ahmetovic, Daisuke Sato, Uran Oh et al. · 2020 · 61 citations
1–5 of 18
70
University of Engineering and Technology Peshawar, Pakistan
1 publications · 32 citations
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 70
28
University of California San Diego
San Diego, United States
2 h-index
4 publications
111 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
30 citations
Institute for Systems Engineering and Computers
Lisbon, Portugal
1 h-index
3 publications
84 citations
National Central University
Taoyuan City, Taiwan
1 h-index
3 publications
36 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
36 citations
University of Engineering and Technology Peshawar
Peshawar, Pakistan
1 h-index
6 publications
192 citations
IBM Research - Tokyo
Tokyo, Japan
1 h-index
1 publications
61 citations

University of Lübeck
Lübeck, Germany
1 h-index
3 publications
186 citations
1–8 of 28
1 publications · 28 citations
1
h-index
1 publications · 12 citations
1
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QJEP · 1 publications · 12 citations
1
h-index
1 publications · 62 citations
1
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Repository · 1 publications · 12 citations
1
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1–5