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This paper considers robust vehicle logo recognition (without aiming at accurate location) for intelligent transportation systems. We propose a recognition-before-location framework for multi-scale vehicle logos which exploits a directional SIFT flow parsing method. We extract dense SIFT descriptors of different standard vehicle logos. An improved matching method is proposed to obtain a directional...
Video analysis, whether in computer graphics or in computer vision, is often confronted with the task to evaluate frame quality or to identify changes in scenes, or changes in frame properties. In this paper we consider sharpness and contrast of frames. Both properties are often used in an intuitive way for single images, and there are also various definitions available. In this paper we specify definitions...
The report about the ECCV 2012 Robust Vision Challenge summarized strengths and weaknesses of the winning stereo matcher (Iterative Semi-Global Matching = iSGM). In this paper we discuss whether two variants of a Belief Propagation (BP) matcher can cope better with events such as sun flare or missing temporal consistency, where iSGM showed weaknesses (similar to the original SGM). The two variants...
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