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Deep convolutional network has achieved great success in visual recognition of static images, while it is not so advantageous as traditional methods in action recognition in videos. As two-stream-style convolutional network gaining best performance in human action recognition, there exist obstacles such as selecting different pre-train models and hyper-parameters, and high computation consumption...
Generally, due to the partial occlusion, it is very difficult to correctly estimate the central catadioptric line image from its visible part. Except for the necessary and sufficient conditions that must be satisfied by a set of paracatadioptric line images, we find that if the antipodal points of image points on the visible arc are known, the fitting accuracy can be improved greatly. In this paper,...
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