Automatic labeling method for multi-view images
An image automatic labeling, multi-view technology, applied in the field of image processing, can solve the problem of ignoring the differences of different views, and achieve the effect of improving the labeling performance and the labeling performance.
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[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.
[0044] A method for automatic labeling of multi-view images proposed in this embodiment, its flow chart is as follows figure 1 As shown, it specifically includes the following steps:
[0045] (1) Set the semantic labels and various visual features of the marked images as multiple views, input them into the multi-view sparse model for training and learning, and obtain the view dictionaries and the weight factors of each view. Wherein, each view dictionary includes ...
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