Machine Learning for Face, Emotion, and Pain Recognition

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

SPIE | English | 2018 | ISBN-10: 1510619860 | 107 pages | PDF
This Spotlight explains how to build an automated system for face, emotion, and pain recognition. The steps involved include pre-processing, face detection and segmentation, feature extraction, and finally recognition to classify features and show the accuracy of the system. State-of-the-art algorithms are used to describe all possible solutions of each step. For face detection and segmentation, several approaches are described to detect a face in images: Viola-Jones, color-based approaches, histogram-based approaches, and morphological operation. Local binary patterns, edge detectors, wavelets, discrete cosine transformation, Gabor filters, and fuzzified features are used for feature extraction. The last step includes three approaches for recognition: classification techniques (with a special focus on deep learning), statistical modeling, and distance/similarity measures

本帖隐藏的内容

Machine Learning for Face, Emotion, and Pain Recognition.pdf (5.05 MB, 需要: 10 个论坛币)

2018-11-20 13:50:22 上传

需要: 10 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏6 回帖

关键词：Recognition cognition Learning machine earning

好书，学习了

谢谢分享！

谢谢，学习了！

Thanks

谢谢分享

Machine Learning for Face, Emotion, and Pain Recognition

Thanks!!!