Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2016/12/08
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Indian UGC (journal)
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Refrences40
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Citations20
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Soumik Sarkar
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Vivek Venugopalan
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Kishore Reddy
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Julian Ryde
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Navdeep Jaitly
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Michael Giering
Cite
Sarkar, Soumik, et al. “Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames”. Journal of Signal Processing Systems, vol. 88, no. 2, 2016, pp. 205-17, https://doi.org/10.1007/s11265-016-1209-3.
Sarkar, S., Venugopalan, V., Reddy, K., Ryde, J., Jaitly, N., & Giering, M. (2016). Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. Journal of Signal Processing Systems, 88(2), 205-217. https://doi.org/10.1007/s11265-016-1209-3
Sarkar, Soumik, Vivek Venugopalan, Kishore Reddy, Julian Ryde, Navdeep Jaitly, and Michael Giering. “Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames”. Journal of Signal Processing Systems 88, no. 2 (2016): 205-17. https://doi.org/10.1007/s11265-016-1209-3.
1.
Sarkar S, Venugopalan V, Reddy K, Ryde J, Jaitly N, Giering M. Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. Journal of Signal Processing Systems. 2016;88(2):205-17.
Journal Categories
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization. | Psychological Bulletin |
| 665 | 2012 |
| 10.1109/TIP.2011.2162420 | 2012 | |||
| Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes | The Visual Computer |
| 203 | 2011 |
Online three‐dimensional SLAM by registration of large planar surface segments and closed‐form pose‐graph relaxation | Journal of Field Robotics |
| 56 | 2010 |
| A comparative evaluation of interest point detectors and local descriptors for visual SLAM | Machine Vision and Applications |
| 82 | 2010 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| MultiResEdge: A deep learning-based edge detection approach | Intelligent Systems with Applications | 1 | 2023 | |
| An RGB-D-Based Thickness Feature Descriptor and Its Application on Scrap Steel Grading | IEEE Transactions on Instrumentation and Measurement |
| 2023 | |
Patch-Based Difference-in-Level Detection with Segmented Ground Mask | Electronics |
| 2023 | |
| A novel early warning strategy for right-turning blind zone based on vulnerable road users detection | Neural Computing and Applications |
| 3 | 2022 |
Computer Vision-Based Inspection System for Worker Training in Build and Construction Industry | Computers |
| 2 | 2022 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 12
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Video scene analysis: an overview and challenges on deep learning algorithms and was published in 2017. The most recent citation comes from a 2023 study titled An RGB-D-Based Thickness Feature Descriptor and Its Application on Scrap Steel Grading. This article reached its peak citation in 2019, with 7 citations. It has been cited in 19 different journals, 15% of which are open access. Among related journals, the Journal of Intelligent & Fuzzy Systems cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.