Object recognition method based on convolutional restricted Boltzmann machine combining Centering Trick

Abstract

The invention relates to an object recognition method based on a convolutional restricted Boltzmann machine combining Centering Trick. The method includes: structuring a training database, reconstructing an image, performing pre-whitening, using a CRBM model combining Centering Trick to perform feature extraction for a training set, transforming a 3-dimensional eigenmatrix into a one-dimensional eigenvector, using a Softmax classifier to classify the features, obtaining a test set, recombining and whitening the test set, computing the assumed value Si corresponding to output of a pool layer, and determining whether classification is correct or not according to a fact that whether Si is equal to the label of the test set or not. During a feature extraction process, a memory needed for computation is reduced and the computing speed is increased by making full use of two dimensionality of an image itself and the relations between pixels and also by using a CRBM model to achieve weight sharing. By using Centering Trick, the noise of inputting ofeach layer is reduced, and the accuracy of calculation and the stability of the model are improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and introduces an object recognition method of a convolutional restricted Boltzmann machine (Convolutional Restricted Boltzmann Machine, CRBM) model fused with a centering trick (a data preprocessing method using a parameter center factor). When using CRBM to extract the global features of the image, the centering trick is fused, and the original CRBM energy function is reconstructed to reduce the noise of each input, thereby reducing the noise in the entire generation model calculation process, and using the greedy algorithm as a learning mechanism , making the model more stable and having better generative properties. technical background [0002] As one of the greatest inventions of mankind in the 20th century, robotics has been developed for more than 50 years since it came out in the early 1960s, and has become one of the representative strategic technologies in the high-tech field...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of excessive input image noise and ignoring the two-dimensionality of the image itself and the relationship between them in the prior art, the present invention proposes an object recognition method based on a centering trick convolution-restricted Boltzmann machine, using CRBM As the base model for feature extraction

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