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- W1720554966 abstract "Invariant representations of images have proven useful in performing a variety of vision tasks. However, there are no general invariant functions when one considers a single 2-D image of a 3-D scene. One possible response to the lack of true invariants is to attempt to generalize the notion of an invariant by finding the most economical characterization possible of the set of all 2-D images that a group of 3-D features may produce. A true invariant exists when, for each model, we can represent all its images at a single point in some representational space. When this is not possible, it is still very useful to find the simplest and lowest-dimensional representation of each model's images." @default.
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- W1720554966 date "1994-01-01" @default.
- W1720554966 modified "2023-09-25" @default.
- W1720554966 title "Generalizing invariants for 3-D to 2-D matching" @default.
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- W1720554966 doi "https://doi.org/10.1007/3-540-58240-1_22" @default.
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