Target recognition and angle coarse estimation algorithm using space sparse coding
A sparse coding and target recognition technology, applied in the field of digital image processing, can solve problems such as limiting the flexibility and harshness of problem solving, and achieve the effect of increasing the space selection method.
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[0053] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0054] The present invention aims to learn the features of the target in a sparse coding manner, further classify and recognize the target, and at the same time roughly estimate the target angle corresponding to the image. The algorithm first takes images of equally spaced angles (15°) of different targets as the training set, obtains and screens the spatial fragments of each image according to the standard deviation; then performs whitening and PCA on the fragments in each independent image. Preprocessing; then use the spatial fragmentation to separately train the dictionary (sub-dictionary) of each target; after removing the useless bases in each sub-dictionary, merge the sub-dictionaries into a large dictionary as a whole, and use this large dictionary to regain the image fragments of the training set Sparsely encode the coefficien...
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