Semi-direct Visual Slam
Semi-Direct Visual SLAM is a visual simultaneous localization and mapping method that estimates camera motion and scene structure by partially leveraging pixel intensity information without explicit feature extraction, distinguishing itself from direct methods through selective use of photometric error minimization and from indirect methods by avoiding full feature-based matching.
21
Publications
871
Citations
76
Authors
29
Institutions
Publications per year
2017–2026
17
Parents
21
1–5 of 21
76
2
h-index
2
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2
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2
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1–5 of 76
29
Universidad de Zaragoza
Zaragoza, Spain
5 h-index
13 publications
654 citations
Technical University of Munich
Munich, Germany
3 h-index
7 publications
499 citations

Northwestern Polytechnical University
Xi'an, China
1 h-index
4 publications
84 citations

University of Alberta
Edmonton, Canada
1 h-index
2 publications
204 citations

Alibaba Group (China)
Hangzhou, China
1 h-index
2 publications
34 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
2 publications
68 citations

Guizhou University
Guiyang, China
1 h-index
5 publications
65 citations

Anhui University
Hefei, China
1 h-index
3 publications
66 citations
1–8 of 29
3 publications · 182 citations
3
h-index
2 publications · 66 citations
2
h-index
1 publications · 15 citations
1
h-index
TPAMI · 1 publications · 58 citations
1
h-index
1 publications · 11 citations
1
h-index
1–5