Landmark-based Representation
Landmark-Based Representation is a spatial representation method that orients an agent within an environment by encoding positions relative to salient, identifiable objects or features, distinguishing it from grid- or path-integration-based approaches through its reliance on fixed, recognizable cues for localization and navigation.
211
Publications
13.9K
Citations
630
Authors
266
Institutions
Publications per year
2017–2026
56
Parents
211
Face Alignment Across Large Poses: A 3D Solution
Xiangyu Zhu, Zhen Lei, Xiaoming Liu et al. · 2016 · 1.2K citations
City-scale landmark identification on mobile devices
David M. Chen, Georges Baatz, Kevin Köser et al. · 2011 · 401 citations
Face Alignment in Full Pose Range: A 3D Total Solution
Xiangyu Zhu, Xiaoming Liu, Zhen Lei et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 398 citations · Full text
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University of Alberta
Edmonton, Canada
11 h-index
18 publications
1.1K citations
University of Zurich
Zurich, Switzerland
9 h-index
18 publications
2.9K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
19 publications
6.3K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
582 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
11 publications
380 citations
Ruhr University Bochum
Bochum, Germany
3 h-index
10 publications
183 citations
Shandong Institute of Automation
Jinan, China
3 h-index
10 publications
1.4K citations

Macquarie University
Sydney, Australia
3 h-index
3 publications
86 citations
1–8 of 266
7 publications · 651 citations
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6 publications · 882 citations
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5 publications · 161 citations
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Conference · 4 publications · 593 citations
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4 publications · 171 citations
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