Depth From Camera Models
Depth From Camera Models is a computational framework within computer vision that derives metric depth information from image data by leveraging the geometric and optical properties inherent in camera projection models.
23
Publications
1.5K
Citations
90
Authors
46
Institutions
Publications per year
2017–2026
11
Parents
23
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Mu Hu, Wei Yin, Chi Zhang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024 · 160 citations · Full text
High-quality scanning using time-of-flight depth superresolution
Sebastian Schuon, Christian Theobalt, James Davis et al. · 2008 · 130 citations
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou et al. · 2019 · 121 citations · Full text
1–5 of 23
90
2
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 330 citations
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 90
46
Intel (United States)
Santa Clara, United States
3 h-index
3 publications
451 citations

Zhejiang University
Hangzhou, China
2 h-index
4 publications
660 citations
Tencent (China)
Shenzhen, China
2 h-index
3 publications
500 citations
Institut National des Sciences Appliquées de Rennes
Rennes, France
1 h-index
1 publications
15 citations
Guangdong University of Technology
Guangzhou, China
1 h-index
5 publications
110 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
1 publications
107 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
3 publications
480 citations
University of Washington
Seattle, United States
1 h-index
3 publications
105 citations
1–8 of 46
2 publications · 261 citations
2
h-index
1 publications · 116 citations
1
h-index
1 publications · 61 citations
1
h-index
1 publications · 14 citations
1
h-index
IJSH · 1 publications · 55 citations
1
h-index
1–5