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Bridging the semantic gap using geometric multi-model fitting
Computer Vision ultimately aims to mimic human visual perception. Although this ambitious goal has inspired research efforts towards the design of automatic systems that can effectively analyze and extract information from visual data, there is still an unfulfilled need for compact, abstract representations of this content in order to bridge the semantic gap that separates…
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Bridging the semantic gap using geometric multi-model fitting
Computer Vision ultimately aims to mimic human visual perception. Although this ambitious goal has inspired research efforts towards the design of automatic systems that can effectively analyze and extract information from visual data, there is still an unfulfilled need for compact, abstract representations of this content in order to bridge the semantic gap that separates…
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Bridging the semantic gap using geometric multi-model fitting
Computer Vision ultimately aims to mimic human visual perception. Although this ambitious goal has inspired research efforts towards the design of automatic systems that can effectively analyze and extract information from visual data, there is still an unfulfilled need for compact, abstract representations of this content in order to bridge the semantic gap that separates…
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