The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Three-dimensional object recognition
Open accessAbstract
A general-purpose computer vision system must be capable of recognizing three-dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object recognition problem, discusses basic concepts associated with this problem, and reviews the relevant literature. Because range images (or depth maps) are often used as sensor input instead of intensity images, techniques for obtaining, processing, and characterizing range data are also surveyed.
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Citations
Cites
Representations for Rigid Solids: Theory, Methods, and Systems
Requicha, A. G. (1980) · ACM Computing Surveys · doi:10.1145/356827.356833 · Cited by 1,436
Cited by
Comparing images using the Hausdorff distance
Huttenlocher, D. P., Klanderman, G. A., & Rucklidge, W. J. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.232073 · Cited by 4,545
Neural network-based face detection
Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554
Grauman, K., & Leibe, B. (2011) · Synthesis Lectures on Artificial Intelligence and Machine Learning · doi:10.2200/s00332ed1v01y201103aim011 · Cited by 126
Metadata
- Authors
- Besl, P. J., & Jain, R. C.
- Venue
- ACM Computing Surveys
- Published
- 1985-03
- Volume
- 17
- Issue
- 1
- Pages
- 75-145
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W1996773532
- Cited by
- 971
- References
- 1
- FWCI
- 52.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Besl, P. J., & Jain, R. C. (1985). Three-dimensional object recognition. ACM Computing Surveys. https://doi.org/10.1145/4078.4081
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