Spatial Context Recognition
Spatial Context Recognition is a computational method that identifies and interprets the physical environment's geometric, topological, and semantic characteristics to determine the user's precise location and spatial relationships among objects within a scene, enabling context-aware augmented reality applications to dynamically adapt content based on the recognized spatial configuration.
25
Publications
3.4K
Citations
92
Authors
60
Institutions
Publications per year
2017–2026
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Context-based vision system for place and object recognition
Torralba, Murphy Murphy, Freeman · 2003 · 883 citations · Full text
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National Institute of Astrophysics, Optics and Electronics, Mexico
1 publications · 23 citations
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60
Tsinghua University
Beijing, China
1 h-index
2 publications
88 citations

Ocean University of China
Qingdao, China
1 h-index
1 publications
85 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
51 citations
European Institute of Oncology
Milan, Italy
1 h-index
2 publications
144 citations
Polaroid (United States)
Minnetonka, United States
1 h-index
1 publications
24 citations
University of Utah
Salt Lake City, United States
1 h-index
4 publications
128 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
12 citations

VTT Technical Research Centre of Finland
Espoo, Finland
1 h-index
1 publications
32 citations
1–8 of 60
1 publications · 13 citations
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1 publications · 34 citations
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Repository · 1 publications · 369 citations
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1 publications · 219 citations
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1 publications · 57 citations
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