| Abstract |
This thesis aims to identify the issues related to the diversification of local descriptors arising from the variations in image formation and object properties. In general, this requires an adaptation of the extraction and modeling of local descriptors based on properties of the underlying image signal itself. By doing so, a descriptor is selected dynamically. The dynamic selection of local image descriptors results in novel image representations with different robustness characteristics.
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