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The problem of content based image retrieval is to narrow down the gap between low-level image features and high-level semantic concepts. In this paper, a biased discriminant analysis with feature line embedding (FLE-BDA) is proposed for performance enhancement in the relevance feedback scheme. We try to maximize the margin between relevant and irrelevant samples at local neighborhoods. In the reduced...
Color identification of automobiles plays a significant in intelligent transportation systems (ITS). In this paper, a novel scheme for color identification of automobile is proposed using the taillight detection and a template matching module. The taillights of cars are detected to find the valid regions of interested (ROIs) for color identification. The color feature vectors generated by 3 by 3 neighboring...
The conventional wide-baseline image matching solely relies on identifying the same local features of two wide-baseline images under matching to establish pixel-to-pixel correspondence based on the nearest neighbor matching criterion. However, a large number of mismatches would be incurred especially for those images containing complicated scene. In order to effectively reduce mismatches, we propose...
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