The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Perspective on Range Finding Techniques for Computer Vision
Abstract
In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurations and space filling extents of three-dimensional object assemblages. This paper surveys a variety of approaches to generalized range finding and presents a perspective on their applicability and shortcomings in the context of computer vision studies.
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Cites
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Cited by
Sonar-based real-world mapping and navigation
Elfes, A. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087096 · Cited by 1,397
Hussain, M. (2023) · Machines · doi:10.3390/machines11070677 · Cited by 1,217
Model-Based Recognition and Localization from Sparse Range or Tactile Data
Grimson, W. E. L., & Lozano-Pérez, T. (1984) · The International Journal of Robotics Research · doi:10.1177/027836498400300301 · Cited by 586
Lee, J. H., & You, S. J. (2024) · IEEE Access · doi:10.1109/access.2024.3352146 · Cited by 29
Metadata
- Authors
- Jarvis, R. A.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1983-03
- Volume
- PAMI-5
- Issue
- 2
- Pages
- 122-139
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2130755868
- Cited by
- 782
- References
- 1
- FWCI
- 27.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jarvis, R. A. (1983). A Perspective on Range Finding Techniques for Computer Vision. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1983.4767365
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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