光电工程, 2020, 47 (1): 190299, 网络出版: 2020-02-24  

基于深度学习检测器的多角度人脸关键点检测

Multi-angle key point detection of face based on deep learning detector
作者单位
杭州电子科技大学自动化学院,浙江 杭州 310018
引用该论文

赵兴文, 杭丽君, 宫恩来, 叶锋, 丁明旭. 基于深度学习检测器的多角度人脸关键点检测[J]. 光电工程, 2020, 47(1): 190299.

Zhao Xingwen, Hang Lijun, Gong Enlai, Ye Feng, Ding Mingxu. Multi-angle key point detection of face based on deep learning detector[J]. Opto-Electronic Engineering, 2020, 47(1): 190299.

参考文献

[1] Wang Y M, Pan G, Wu Z H. A survey of 3D face recognition[J]. Journal of Computer-Aided Design & Computer Graphics, 2008, 20(7): 819–829.

[2] Peng M C, Bao J, Ye M, et al. Face alignment algorithm based on shape parameter regression[J]. Pattern Recognition and Ar-tificial Intelligence, 2016, 29(1): 63–71.

[3] Zhu C R, Wang R S. Adaptive facial feature selection algo-rithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2002, 14(1): 26–30.

[4] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmenta-tion[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580–587.

[5] Girshick R. Fast R-CNN[C]//Proceedings of 2015 IEEE Inter-national Conference on Computer Vision (ICCV), 2015: 1440–1448.

[6] Ren S Q, He K M, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal net-works[C]//Advances in Neural Information Processing Systems, 2015: 91–99.

[7] Uijlings J R R, van de Sande K E A, Gevers T, et al. Selective search for object recognition[J]. International Journal of Com-puter Vision, 2013, 104(2): 154–171.

[8] Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[C]//Proceedings of the 14th European Conference on Computer Vision, 2016: 21–37.

[9] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016: 779–788.

[10] Cao X D, Wei Y C, Wen F, et al. Face alignment by explicit shape regression[J]. International Journal of Computer Vision, 2014, 107(2): 177–190.

[11] Xiong X H, De la Torre F. Supervised descent method and its applications to face alignment[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013: 532–539.

[12] Ren S Q, Cao X D,Wei Y C, et al. Face alignment at 3000 FPS via regressing local binary features[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1685–1692.

[13] Li Z D, Zhong Y, Chen M, et al. PNMS algorithm based on penalty factors for face detection and alignment[J]. Advanced Engineering Sciences, 2018, 50(6): 225–231. 李振东, 钟勇, 陈蔓, 等. 基于惩罚因子的 PNMS算法的人脸检测和对齐[J].工程科学与技术, 2018, 50(6): 225–231.

[14] Zhang K P, Zhang Z P, Li Z F, et al. Joint face detection and alignment using multitask cascaded convolutional networks[J]. IEEE Signal Processing Letters, 2016, 23(10): 1499–1503.

[15] Jiao F, Shan S G, Cui G Q, et al. Face recognition based on local feature analysis[J]. Journal of Computer-Aided Design & Computer Graphics, 2003, 15(1): 53–58.

[16] Song H, Shi F. Multi-view face detection and pose discrimina-tion in video[J]. Journal of Computer-Aided Design & Computer Graphics, 2007, 19(1): 90–95.

[17] Zhang S F, Zhu X Y, Lei Z, et al. S3FD: single shot scale-invariant face detector[C]//Proceedings of 2017 IEEE In-ternational Conference on Computer Vision (ICCV), 2017: 192–201.

[18] Wan J, Li J, Chang J, et al. Face alignment on lo-cal-shape-based combined model[J]. Chinese Journal of Computers, 2018, 41(9): 2162–2174.

[19] Bodini M. A review of facial landmark extraction in 2D images and videos using deep learning[J]. Big Data and Cognitive Computing, 2019, 3(1): 14.

赵兴文, 杭丽君, 宫恩来, 叶锋, 丁明旭. 基于深度学习检测器的多角度人脸关键点检测[J]. 光电工程, 2020, 47(1): 190299. Zhao Xingwen, Hang Lijun, Gong Enlai, Ye Feng, Ding Mingxu. Multi-angle key point detection of face based on deep learning detector[J]. Opto-Electronic Engineering, 2020, 47(1): 190299.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!