Global Face Pose Detection Based on an Improved PSO-SVM Method-Reference-Cited by-同舟云学术

Global Face Pose Detection Based on an Improved PSO-SVM Method

Published:2020-10-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Aviation Safety and Information Technology
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Author:

Li Shuyun¹

Affiliation:

1. International College, Beijing University of Posts and Telecommunications, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3434581.3434679

Reference17 articles.

1. Zhu Xiangxin and Deva Ramanan. "Face Detection Pose Estimation and Landmark Localization in the Wild." 2012 IEEE Conference on Computer Vision and Pattern Recognition 2012 pp. 2879--2886. Zhu Xiangxin and Deva Ramanan. "Face Detection Pose Estimation and Landmark Localization in the Wild." 2012 IEEE Conference on Computer Vision and Pattern Recognition 2012 pp. 2879--2886.

2. Synergistic Face Detection and Pose Estimation with Energy-Based Models;Osadchy Margarita;Journal of Machine Learning Research,2007

3. Kernel machine based learning for multi-view face detection and pose estimation

4. Fuzzy Inference System Optimized by Genetic Algorithm for Robust Face and Pose Detection;Moallem P.;International Journal of Artificial Intelligence,2015

5. Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting

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