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首页> 外文会议>2017 International Conference on Computer Network, Electronic and Automation >Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation
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Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation

机译：基于改进HOG和稀疏表示的秦岭鼻鼻猴的人脸识别

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摘要

With the researches on face recognition of Rhinopithecusroxellanaqinlingensis, this thesis comes up with some methods that refining traditional HOG and Sparse Representation in order to improve the efficiency in recognizing golden monkeys. As we know, improved HOG is an optimal way to show partial information of an image. Besides, it can also plays an crucial role in staying stability in both optical and geometric distortion, which means the changes in expressions, postures and angles of golden monkeys can also be ignored. By using these characteristics as a alternation of original images to be a part of Sparse dictionary, and make a facial recognition on golden monkey with Sparse Representation, which can be a ideal method to erase many unnecessary messages and improve the accuracy on facial recognition of golden monkeys. Compared with mainstream method in recognition, this method is more reliable and effective and has a higher efficiency in recognition.
机译：通过对鼻鼻猴鼻孔人脸识别的研究，提出了一些改进传统HOG和稀疏表示的方法，以提高对金丝猴的识别效率。众所周知，改进的HOG是显示图像局部信息的最佳方法。此外，它在保持光学和几何畸变的稳定性方面也起着至关重要的作用，这意味着金猴的表情，姿势和角度的变化也可以忽略不计。通过将这些特征用作原始图像的替代品，成为稀疏词典的一部分，并使用稀疏表示法对金丝猴进行面部识别，这是消除许多不必要信息并提高对金色人脸识别准确性的理想方法猴子。与主流识别方法相比，该方法更加可靠有效，识别效率更高。

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