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Identification of invariant image descriptors is an integral task for many computer vision applications such as image registration, object recognition, and object tracking. The detected features should be invariant to geometric transformations such as rotation and translation, as well photometric variations due to differing lighting conditions. In this work, we propose a unique and effective region...
We propose a new effective shape descriptor, chord context, for shape description in content-based image retrieval. For a shape, the chord context describes a frequency distribution of chord lengths with different orientations. The histograms which represent the chord context are compacted and normalized into a feature matrix. Unlike other shape representation schemes, the proposed scheme is able...
In this paper we present a novel rotation- and affine-invariant image regions detector, coined OSR (Optimum Similar Regions). The two steps of OSR is: first, segment an image with thresholds based on graph theory, these regions of the segmentation results are so called similar regions. Second, the subset of similar regions is confirmed according to the regulation of the similar region’s cardinality...
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