You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques
|
---|---|
Chapter number | 8 |
Book title |
RGB-D Image Analysis and Processing
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-28603-3_8 |
Book ISBNs |
978-3-03-028602-6, 978-3-03-028603-3
|
Authors |
Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun, Ward, Isaac Ronald, Laga, Hamid, Bennamoun, Mohammed |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 24% |
Student > Master | 14 | 18% |
Researcher | 8 | 10% |
Student > Bachelor | 5 | 6% |
Other | 4 | 5% |
Other | 4 | 5% |
Unknown | 25 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 38% |
Engineering | 21 | 27% |
Chemical Engineering | 1 | 1% |
Mathematics | 1 | 1% |
Arts and Humanities | 1 | 1% |
Other | 0 | 0% |
Unknown | 25 | 32% |