Shadow Boundary Determination
Shadow Boundary Determination is a computational method in computer vision that identifies the precise spatial limits between shadowed and illuminated regions in an image by analyzing luminance discontinuities and geometric constraints, distinguishing it from general shadow detection through its focus on boundary localization accuracy.
173
Publications
7.5K
Citations
500
Authors
240
Institutions
Publications per year
2017–2026
55
Parents
173
1–5 of 173
500
3
h-index
2
h-index
2
h-index
2
h-index
China Centre for Resources Satellite Data and Application, China
2 publications · 48 citations
2
h-index
1–5 of 500
240
Wuhan University
Wuhan, China
7 h-index
18 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
944 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
14 publications
649 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
9 publications
270 citations
University of Maryland, College Park
College Park, United States
4 h-index
11 publications
963 citations
National University of Singapore
Singapore, Singapore
4 h-index
8 publications
430 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
5 publications
170 citations

Nanjing University of Information Science and Technology
Nanjing, China
3 h-index
11 publications
541 citations
1–8 of 240
9 publications · 996 citations
9
h-index
5 publications · 216 citations
5
h-index
4 publications · 416 citations
4
h-index
4 publications · 74 citations
4
h-index
4 publications · 97 citations
4
h-index
1–5