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This paper presents a novel architecture for a classification system based on the visual saliency of images. The work is motivated by the difficulty of reviewing large numbers of images as a human operator in the context of Autonomous Underwater Vehicle (AUV) surveys. We formulate a feature space in which an algorithm operates over color and texture to determine saliency and illustrate how this can...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
The registration and 3D mosaicing of range images presents an interesting challenge for the underwater domain. This work attempts to lay out some of the issues involved in generating large 3D reconstructions of the benthos from two distinct views gathered from an AUV. Specifically, we address using 3D feature correspondence to estimate a Euclidean transformation between views and then refine that...
A prototype two- and three-dimensional color atlas of mouse development is described. The prototype has been developed using two embryos, a 13.5 d normal mouse embryo and a PATCH mutant embryo of the same age. Serial sections of the embryos, with an external registration marker system, introduced into the paraffin embedding process, were prepared by standard histological methods. For the 2D atlas,...
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