The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Object matching using deformable templates
Abstract
We propose a general object localization and retrieval scheme based on object shape using deformable templates. Prior knowledge of an object shape is described by a prototype template which consists of the representative contour/edges, and a set of probabilistic deformation transformations on the template. A Bayesian scheme, which is based on this prior knowledge and the edge information in the input image, is employed to find a match between the deformed template and objects in the image. Computational efficiency is achieved via a coarse-to-fine implementation of the matching algorithm. Our method has been applied to retrieve objects with a variety of shapes from images with complex background. The proposed scheme is invariant to location, rotation, and moderate scale changes of the template.
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Metadata
- Authors
- Jain, A. K., Zhong, Y., & Lakshmanan, S.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1996-03
- Volume
- 18
- Issue
- 3
- Pages
- 267-278
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2342089072
- Cited by
- 520
- References
- 1
- FWCI
- 35.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
