光学学报, 2020, 40 (13): 1310001, 网络出版: 2020-07-09   

基于超像素分割的IPPG活体皮肤检测 下载: 919次

IPPG Alive-Skin Detection Based on Superpixel Segmentation
作者单位
北京理工大学光电学院精密光电测试仪器与技术北京市重点实验室, 北京 100081
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孔令琴, 吴育恒, 赵跃进, 董立泉, 刘明, 惠梅. 基于超像素分割的IPPG活体皮肤检测[J]. 光学学报, 2020, 40(13): 1310001.

Lingqin Kong, Yuheng Wu, Yuejin Zhao, Liquan Dong, Ming Liu, Mei Hui. IPPG Alive-Skin Detection Based on Superpixel Segmentation[J]. Acta Optica Sinica, 2020, 40(13): 1310001.

参考文献

[1] 程超, 达飞鹏, 王辰星, 等. 基于Lucas-Kanade算法的最大Gabor相似度大姿态人脸识别[J]. 光学学报, 2019, 39(7): 0715005.

    Cheng C, Da F P, Wang C X, et al. Pose invariant face recognition using maximum Gabor similarity based on Lucas-Kanade algorithm[J]. Acta Optica Sinica, 2019, 39(7): 0715005.

[2] 孟濬, 赵夕朦. 基于皮肤表面“振动信号”的多摄像头人体识别定位[J]. 光学学报, 2019, 39(5): 0515001.

    Meng J, Zhao X M. Human body recognition and positioning with multiple cameras based on “vibration signals” from skin surfaces[J]. Acta Optica Sinica, 2019, 39(5): 0515001.

[3] 陈锻生, 刘政凯. 肤色检测技术综述[J]. 计算机学报, 2006, 29(2): 194-207.

    Chen D S, Liu Z K. A survey of skin color detection[J]. Chinese Journal of Computers, 2006, 29(2): 194-207.

[4] Aznaveh MM, MirzaeiH, RoshanE, et al. A new and improves skin detection method using RGB vector space[C]∥2008 5th International Multi-Conference on Systems, Signals and Devices, July 20-22, 2008, Amman, Jordan. New York: IEEE, 2008: 10364911.

[5] 谭伟恒. 基于人体特征的肤色检测算法在敏感图像过滤中的应用[D]. 长春: 吉林大学, 2006: 1- 61.

    Tan WH. The application of body-feature based skin-detecting algorithm in erotic image filtering[D]. Changchun: Jilin University, 2006: 1- 61.

[6] 徐战武, 朱淼良. 基于颜色的皮肤检测综述[J]. 中国图象图形学报, 2007, 12(3): 377-388.

    Xu Z W, Zhu M L. Color-based skin detection: a survey[J]. Journal of Image and Graphics, 2007, 12(3): 377-388.

[7] Jusoh RM, HamzahN, Marhaban MH, et al. Skin detection based on thresholding in RGB and hue component[C]∥2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), October 3-5, 2010, Penang, Malaysia. New York: IEEE, 2010: 11746649.

[8] GibertG, D'Alessandro D, Lance F. Face detection method based on photoplethysmography[C]∥2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, August 27-30, 2013, Krakow, Poland. New York: IEEE, 2013: 449- 453.

[9] van LuijtelaarR, Wang WJ, StuijkS, et al. Automatic ROI detection for camera-based pulse-rate measurement[M] ∥Jawahar C V, Shan S G. Computer vision - ACCV 2014 workshops. Cham: Springer, 2015: 360- 374.

[10] Wang W J. Stuijk S, de Haan G. Unsupervised subject detection via remote PPG[J]. IEEE Transactions on Biomedical Engineering, 2015, 62(11): 2629-2637.

[11] Wang W J. Stuijk S, de Haan G. Living-skin classification via remote-PPG[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(12): 2781-2792.

[12] LiuH, ChenT, Zhang QN, et al. A new approach for face detection based on photoplethysmographic imaging[M] ∥Yin X X, Ho K, Zeng D, et al. Health information science. Cham: Springer, 2015: 79- 91.

[13] Po L M, Feng L T, Li Y M, et al. Block-based adaptive ROI for remote photoplethysmography[J]. Multimedia Tools and Applications, 2018, 77(6): 6503-6529.

[14] Achanta R, Shaji A, Smith K, et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.

[15] AchantaR, SusstrunkS. Superpixels and polygons using simple non-iterative clustering[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2017: 4895- 4904.

[16] Poh M Z. McDuff D J, Picard R W. Advancements in noncontact, multiparameter physiological measurements using a webcam[J]. IEEE Transactions on Biomedical Engineering, 2011, 58(1): 7-11.

[17] LewandowskaM, RumińskiJ, KocejkoT, et al. Measuring pulse rate with a webcam:a non-contact method for evaluating cardiac activity[C]∥2011 Federated Conference on Computer Science and Information Systems(FedCSIS), September 18-21, 2011, Szczecin, Poland. New York: IEEE, 2011: 405- 410.

[18] Wang W J. Stuijk S, de Haan G. A novel algorithm for remote photoplethysmography: spatial subspace rotation[J]. IEEE Transactions on Biomedical Engineering, 2016, 63(9): 1974-1984.

[19] de Haan G, Jeanne V. Robust pulse rate from chrominance-based rPPG[J]. IEEE Transactions on Biomedical Engineering, 2013, 60(10): 2878-2886.

[20] de Haan G, van Leest A. Improved motion robustness of remote-PPG by using the blood volume pulse signature[J]. Physiological Measurement, 2014, 35(9): 1913-1926.

[21] Wang W J, den Brinker A C, Stuijk S, et al. Algorithmic principles of remote PPG[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(7): 1479-1491.

[22] Wang WJ, den Brinker AC, StuijkS, et al. Color-distortion filtering for remote photoplethysmography[C]∥2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), May 30-June 3, 2017, Washington, DC, USA. New York: IEEE, 2017: 71- 78.

[23] Cortes C, Vapnik V. Support-vector networks[J]. Machine Learning, 1995, 20(3): 273-297.

[24] 徐晓明. SVM参数寻优及其在分类中的应用[D]. 大连: 大连海事大学, 2014.

    Xu XM. SVM parameter optimization and its application in the classification[D]. Dalian: Dalian Maritime University, 2014.

孔令琴, 吴育恒, 赵跃进, 董立泉, 刘明, 惠梅. 基于超像素分割的IPPG活体皮肤检测[J]. 光学学报, 2020, 40(13): 1310001. Lingqin Kong, Yuheng Wu, Yuejin Zhao, Liquan Dong, Ming Liu, Mei Hui. IPPG Alive-Skin Detection Based on Superpixel Segmentation[J]. Acta Optica Sinica, 2020, 40(13): 1310001.

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