Abstract
In this section, we introduce the general framework for approaching the classification of the local features of images of objects in natural images. Two general considerations are that the objects will either be surfaces with boundary edges (representing physical objects that are “thin surfaces”) or 3-dimensional objects whose boundary surfaces exhibit certain geometric features. We allow the surface features to be generic geometric features including generalized notions of creases, corners, marking curves, as well as edges (see below). We give more precise descriptions of the geometric features later in this chapter and Chap. 4
Keywords
- Geometric Feature
- Light Direction
- Geometric Realization
- Abstract Classification
- Cast Shadow
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Damon, J., Giblin, P., Haslinger, G. (2016). Overview. In: Local Features in Natural Images via Singularity Theory. Lecture Notes in Mathematics, vol 2165. Springer, Cham. https://doi.org/10.1007/978-3-319-41471-3_2
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DOI: https://doi.org/10.1007/978-3-319-41471-3_2
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