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Mendeley readers
Chapter title |
RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities
|
---|---|
Chapter number | 34 |
Book title |
Computer Vision – ECCV 2016
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46448-0_34 |
Book ISBNs |
978-3-31-946447-3, 978-3-31-946448-0
|
Authors |
Wen-Yan Lin, Siying Liu, Nianjuan Jiang, Minh. N. Do, Ping Tan, Jiangbo Lu, Lin, Wen-Yan, Liu, Siying, Jiang, Nianjuan, Do, Minh. N., Tan, Ping, Lu, Jiangbo |
Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 23% |
Student > Master | 8 | 20% |
Student > Doctoral Student | 4 | 10% |
Researcher | 4 | 10% |
Student > Bachelor | 2 | 5% |
Other | 2 | 5% |
Unknown | 11 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 45% |
Engineering | 6 | 15% |
Agricultural and Biological Sciences | 1 | 3% |
Earth and Planetary Sciences | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 33% |