Abstract
Prominent points in multi-dimensional digital images of different modalities are key features for a variety of computer vision tasks. As point landmarks we define, e.g., corners in 2D projection images or tips of anatomical structures in 3D spatial images, both of which are represented by geometric properties of the underlying intensity function. Note that, in the case of 3D spatial images, the geometry of the intensity function in general directly reflects the geometry of the depicted anatomical structures, which is generally not the case for 2D projection images.
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Rohr, K., Stiehl, H.S., Frantz, S., Hartkens, T. (2000). Performance Characterization of Landmark Operators. In: Klette, R., Stiehl, H.S., Viergever, M.A., Vincken, K.L. (eds) Performance Characterization in Computer Vision. Computational Imaging and Vision, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9538-4_23
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DOI: https://doi.org/10.1007/978-94-015-9538-4_23
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