David W. Capson

1.2k total citations
80 papers, 877 citations indexed

About

David W. Capson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, David W. Capson has authored 80 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 20 papers in Aerospace Engineering and 13 papers in Media Technology. Recurrent topics in David W. Capson's work include Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (19 papers) and Optical measurement and interference techniques (17 papers). David W. Capson is often cited by papers focused on Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (19 papers) and Optical measurement and interference techniques (17 papers). David W. Capson collaborates with scholars based in Canada, United States and Austria. David W. Capson's co-authors include Phillip B. Gibbons, Gary M. Bone, Shahin Sirouspour, Kin Fun Li, Bahram Marami, Allan D. Spence, Alexandra Branzan Albu, Frédéric Jean, Insu Park and Shi Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

David W. Capson

75 papers receiving 824 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David W. Capson Canada 14 536 138 133 119 114 80 877
A. Lynn Abbott United States 17 540 1.0× 95 0.7× 135 1.0× 53 0.4× 127 1.1× 85 1.0k
Viacheslav Voronin Russia 13 423 0.8× 151 1.1× 118 0.9× 97 0.8× 48 0.4× 171 762
Yaping Huang China 19 607 1.1× 117 0.8× 193 1.5× 130 1.1× 48 0.4× 92 1.2k
Alberto S. Aguado United Kingdom 12 602 1.1× 50 0.4× 161 1.2× 53 0.4× 119 1.0× 30 916
Xinghui Dong China 15 284 0.5× 129 0.9× 43 0.3× 143 1.2× 76 0.7× 63 728
Jen‐Hui Chuang Taiwan 17 807 1.5× 39 0.3× 85 0.6× 69 0.6× 205 1.8× 89 1.1k
Anhong Wang China 19 749 1.4× 92 0.7× 182 1.4× 34 0.3× 58 0.5× 170 1.2k
Yi Sun China 16 269 0.5× 85 0.6× 62 0.5× 129 1.1× 72 0.6× 87 836

Countries citing papers authored by David W. Capson

Since Specialization
Citations

This map shows the geographic impact of David W. Capson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David W. Capson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Capson more than expected).

Fields of papers citing papers by David W. Capson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Capson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David W. Capson. The network helps show where David W. Capson may publish in the future.

Co-authorship network of co-authors of David W. Capson

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Capson. A scholar is included among the top collaborators of David W. Capson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David W. Capson. David W. Capson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Capson, David W., et al.. (2024). Badger Identification Using Handcrafted Image Matching with Learned Convolutional Filter. 1–5. 1 indexed citations
2.
Capson, David W., et al.. (2023). A Partitioned CAM Architecture with FPGA Acceleration for Binary Descriptor Matching. ACM Transactions on Reconfigurable Technology and Systems. 17(1). 1–21.
3.
Capson, David W., et al.. (2022). A Fully Pipelined FPGA Architecture for Multiscale BRISK Descriptors With a Novel Hardware-Aware Sampling Pattern. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(6). 826–839. 1 indexed citations
4.
Capson, David W., et al.. (2021). Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning. Journal of Real-Time Image Processing. 18(6). 2123–2134. 6 indexed citations
5.
Li, Kin Fun, et al.. (2020). A Novel Hardware–Software Co-Design and Implementation of the HOG Algorithm. Sensors. 20(19). 5655–5655. 5 indexed citations
6.
Marami, Bahram, Shahin Sirouspour, Sean M. Davidson, et al.. (2015). Elastic registration of prostate MR images based on estimation of deformation states. Medical Image Analysis. 21(1). 87–103. 9 indexed citations
7.
Marami, Bahram, Shahin Sirouspour, & David W. Capson. (2014). Non-rigid registration of medical images based on estimation of deformation states. Physics in Medicine and Biology. 59(22). 6891–6921. 7 indexed citations
8.
Marami, Bahram, Shahin Sirouspour, Aaron Fenster, & David W. Capson. (2014). Dynamic tracking of a deformable tissue based on 3D-2D MR-US image registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9036. 90360T–90360T. 4 indexed citations
9.
Albu, Alexandra Branzan, et al.. (2013). Detection of stationary animals in deep-sea video. 2013 OCEANS - San Diego. 1–5. 4 indexed citations
10.
Kinsner, Michael, et al.. (2012). Multiple View Motion Tracking of Gridded Surfaces using Topological Structure. Computer-Aided Design and Applications. 10(2). 221–229. 1 indexed citations
11.
Kinsner, Michael, David W. Capson, & Allan D. Spence. (2012). Accurate Measurement of Surface Grid Intersections From Close-Range Video Sequences. IEEE Transactions on Instrumentation and Measurement. 61(4). 1019–1028. 6 indexed citations
12.
Marami, Bahram, Shahin Sirouspour, & David W. Capson. (2011). Model-based 3D/2D deformable registration of MR images. PubMed. 48. 4880–4883. 5 indexed citations
13.
Park, Insu & David W. Capson. (2010). Improved motion estimation time using a combination of dynamic reference frame selection and residue-based mode decision. Signal Image and Video Processing. 6(1). 25–39. 4 indexed citations
14.
Kinsner, Michael, David W. Capson, & Allan D. Spence. (2010). A modular CUDA-based framework for scale-space feature detection in video streams. Journal of Physics Conference Series. 256. 12005–12005. 1 indexed citations
15.
Kinsner, Michael, David W. Capson, & Allan D. Spence. (2008). Scale-space ridge detection with GPU acceleration. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 1527–1530. 4 indexed citations
16.
Shirani, Shahram, et al.. (2004). Wireless camera network for image superresolution. 681–684. 2 indexed citations
17.
Capson, David W., et al.. (2004). ICA filters for lighting invariant face recognition. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 334–337 Vol.1. 4 indexed citations
18.
Capson, David W., et al.. (2002). Connected skeletons from 3D distance transforms. 3. 174–179. 1 indexed citations
19.
Capson, David W., et al.. (2000). Multiple camera model-based 3-D visual servo. IEEE Transactions on Robotics and Automation. 16(6). 732–739. 46 indexed citations
20.
Gibbons, Phillip B., et al.. (1992). Generating skeletons and centerlines from the distance transform. 54(5). 420–437. 97 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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