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- W2017231882 abstract "In this paper we discuss certain recently developed invariant geometric techniques that can be used for fastobject recognition or fast image understanding. The results make use of techniques from algebraic geometrythat allow one to relate the geometric invariants of a feature set in 3D to similar invariants in 2D or 1D. Themethods apply equally well to optical images or radar images. In addition to the object/image equationsrelating these invariants, we also discuss certain invariant metrics and show why they provide a more naturaland robust test for matching object features to image features. Additional aspects of the work as it applies toshape reconstruction and shape statistics will also be explored." @default.
- W2017231882 created "2016-06-24" @default.
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- W2017231882 date "2012-06-01" @default.
- W2017231882 modified "2023-09-23" @default.
- W2017231882 title "Invariant methods for real-time object recognition and image understanding" @default.
- W2017231882 doi "https://doi.org/10.1117/12.922857" @default.
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