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In computer vision, reflection is a long-standing problem, it covers image textures, makes original color difficult to recognize, complicates the understanding of the scene. Most of the time, it is considered as “noise”. Many methods are proposed in order to reduce or delete the reflection effects in the image, but generally, the performances are not quite satisfactory. While instead of working on...
According to a British black tea exporter, boiling water of ideal temperature is poured over tealeaves, more than half of the leaves will float while the rest drop to the bottom. Such a movement of tea leaves is well known as “jumping” phenomena. However, depending on the condition of the boiling water, it does not always occur “jumping”. In order to analyze the “jumping” phenomena, we investigate...
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature based trajectories estimated across a long sequence of frames, articulated with a Bayesian framework. The algorithm first classifies the sparse trajectories into sparsely defined objects. Then the sparse object trajectories...
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