Description

Image Feature Matching Based on Deep Learning

Image feature matching is an integral task for many computer vision applications such as object tracking, image retrieval, etc. The images can be matched no matter how the image changes owing into the geometric transformation (such as rotation and translation), illumination, etc. Also due to the successful application of the deep learning in image processing, the deep learning method has an advantage in feature extraction of images.

In this deep learning project, we adopt a deep Convolutional neural network (CNN) model, which attention on image patch, in image feature points matching. CNN obtains the feature by convolution kernel which parameters are achieved by learning. So it has strong ability to express feature. Compared with other methods, experimental results indicate the proposed method has higher accuracy and completed efficiently.