Parametric correspondence and chamfer matching: two new techniques for image matching
- Journal
- Defense Technical Information Center (DTIC)
In The Last Decade
doi.org/w7510443 →Countries where authors are citing Parametric correspondence and chamfer matching: two new techniques for image matching
This map shows the geographic impact of Parametric correspondence and chamfer matching: two new techniques for image matching. 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 Parametric correspondence and chamfer matching: two new techniques for image matching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parametric correspondence and chamfer matching: two new techniques for image matching more than expected).
Fields of papers citing Parametric correspondence and chamfer matching: two new techniques for image matching
This network shows the impact of Parametric correspondence and chamfer matching: two new techniques for image matching. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Parametric correspondence and chamfer matching: two new techniques for image matching.
About Parametric correspondence and chamfer matching: two new techniques for image matching
This paper, published in 1977, received 476 indexed citations . Written by Harry G. Barrow, Jay M. Tenenbaum, Robert C. Bolles and H. C. Wolf covering the research area of Aerospace Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (398 citations), Aerospace Engineering (152 citations) and Computational Mechanics (39 citations). Published in Defense Technical Information Center (DTIC).
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.
This paper is also available at doi.org/w7510443.