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One of the challenges in automatic detection and classification of underwater targets in sonar imagery is variation of the target returns and features with respect to target aspect. This paper adopts a framework for target classification that offers local invariance properties with respect to target aspect. Sonar image snippets of a target type at nearby aspects are related to each other via geometric...
Active object detection refers to the problem of determining the existence and location of objects in an image by actively selecting which regions of the image to explore. Herein, an object detection algorithm is proposed that models image regions as vertices and overlap relationships as edges in a directed weighted graph. Information is propagated from labeled vertices through graph edges that operate...
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