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We present an algorithm to detect doors in images. The key to the algorithm’s success is its fusion of multiple visual cues, including standard cues (color, texture, and intensity edges) as well as several novel ones (concavity, the kick plate, the vanishing point, and the intensity profile of the gap below the door). We use the Adaboost algorithm to determine the linear weighting of the various cues...
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