Computer Science ›› 2018, Vol. 45 ›› Issue (12): 42-51.doi: 10.11896/j.issn.1002-137X.2018.12.006
• Surveys • Previous Articles Next Articles
CHEN Tian-tian, YAO Huang, ZUO Ming-zhang, TIAN Yuan, YANG Meng-ting
CLC Number:
[1]RAUTARAY S S,AGRAWAL A.Vision based hand gesturerecognition for human computer interaction:a survey [M].Kluwer Academic Publishers,2015. [2]BHOWMICK S,TALUKDAR A K,SARMA K K.Continuous hand gesture recognition for English alphabets[C]∥International Conference on Signal Processing and Integrated Networks.IEEE,2015:443-446. [3]PALYS T,ZORSKI W.Enhanced movement tracking with Kinect supported by high-precision sensors[C]∥Computer Science and Information Systems.IEEE,2015:883-888. [4]LIN H B,WANG S B,ZHANG Y,et al.Gesture segmentation and positioning based on improved depth information [J].Journal of Computer Applications,2017,37(1):251-254.(in Chinese) 林海波,王圣彬,张毅,等.基于改进深度信息的手势分割与定位[J].计算机应用,2017,37(1):251-254. [5]LEITE D A T Q,DUARTE J C,OLIVEIRA J C,et al.A System to Interact with CAVE Applications Using Hand Gesture Recognition from Depth Data[C]∥Virtual and Augmented Rea-lity.IEEE,2014:246-253. [6]JOJIC N,HUANG T,BRUMITT B,et al.Detection and estimation of pointing gestures in dense disparity maps[C]∥IEEE International Conference on Automatic Face and Gesture Recognition.IEEE,2000:468-475. [7]DAWOOD M,GIGENGACK F,JIANG X,et al.First International Symposium on 3D Data Processing Visualization and Transmission[C]∥International Symposium on 3d Data Processing Visualization and Transmission,2002.IEEE,2002. [8]LIU X,FUJIMURA K.Hand gesture recognition using depth data[C]∥IEEE International Conference on Automatic Face and Gesture Recognition.IEEE,2004:529-534. [9]RAUTARAY S S,AGRAWAL A.Vision based hand gesturerecognition for human computer interaction:a survey [M].Kluwer Academic Publishers,2015. [10]SUAREZ J,MURPHY R R.Hand gesture recognition withdepth images:A review∥RoMan.IEEE,2012:411-417. [11]ZHENG Y J,YANG J.Application of binocular vision system based on one camera in computer vision [J].Infrared & Laser Engineering,2004,33(4):392-396. [12]XIANG X,PAN Z.Depth Camera in Computer Vision and Computer Graphics:An Overview[J].Journal of Frontiers of Computer Science & Technology,2011,5(6):481-492. [13]CUI Z L.Real-time gesture recognition based on RGBD depth images[D].Suzhou:University of Suzhou,2016.(in Chinese) 崔子璐.基于RGBD深度图像的实时手势识别研究[D].苏州:苏州大学,2016. [14]MATYUNIN S,VATOLIN D,BERDNIKOV Y,et al.Temporal filtering for depth maps generated by Kinect depth camera[C]∥3dtv Conference:the True Vision-Capture,Transmission and Display of 3d Video.IEEE,2011:1-4. [15]GASPARRINI S,CIPPITELLI E,SPINSANTE S,et al.Adepth-based fall detection system using a Kinect® sensor [J].Sensors,2014,14(2):2756-2775. [16]LI M,SUN L,HUO Q.Precise hand segmentation from a single depth image[C]∥International Conference on Pattern Recognition.IEEE,2017:2398-2403. [17]CHEN D,LI G,SUN Y,et al.Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor [J].International Journal of Wireless & Mobile Computing,2017,12(3):305-313. [18]HAN J,SHAO L,XU D,et al.Enhanced computer vision with Microsoft Kinect sensor:a review [J].IEEE Transactions on Cybernetics,2013,43(5):1318-1334. [19]WU X,YANG C,WANG Y,et al.An Intelligent InteractiveSystem Based on Hand Gesture Recognition Algorithm and Kinect[C]∥Fifth International Symposium on Computational Intelligence and Design.IEEE,2013:294-298. [20]CAO H B.Based on Kinect depth information of static gesture recognition method [D].Jinan:Shandong University,2016.(in Chinese) 曹海波.基于Kinect深度信息的静态手势识别方法研究[D].济南:山东大学,2016. [21]LIN H,WANG S,ZHANG Y.Gesture segmentation and positioning based on improved depth information [J].International Journal of Science,2017,4(3):176-184. [22]ZHAO M,JIA Q.Hand Segmentation Using Randomized Decision Forest Based on Depth Images[C]∥International Confe-rence on Virtual Reality and Visualization.IEEE,2017:110-113. [23]RONG T.Continuous gesture segmentation and identificationmethods and applications[D].Nanjing:Nanjing University,2017.(in Chinese) 荣涛.连续手势分割与识别方法的研究和应用[D].南京:南京大学,2017. [24]LI Y.Hand gesture recognition using Kinect [C]∥Proceedings of 2012 IEEE 3rd International Conference on Software Engineering and Service Science.2012:196-199. [25]WEN Y,HU C,YU G,et al.A robust method of detecting hand gestures using depth sensors [C]∥IEEE International Workshop on Haptic Audio Visual Environments and Games.IEEE,2012:72-77. [26]HUANG-CHIA S,CHANG-HSIAN M.Hand segmentationwith skin color fine-tuning using kinect depth sensor [C]∥IEEE 6th Global Conference on Consumer Electronics.2017:1-2. [27]WANG Y.Research on gesture recognition based on RGB-Ddepth information [D].Chengdu:Xihua University,2015.(in Chinese) 王艺.基于RGB-D深度信息的手势识别研究[D].成都:西华大学,2015. [28]JU Z,WANG Y,ZENG W,et al.A modified EM algorithm for hand gesture segmentation in RGB-D data[C]∥IEEE International Conference on Fuzzy Systems.IEEE,2017:1736-1742. [29]QING L I,TANG H,CHI J N,et al.Gesture Segmentation with Improved Maximum Between-cluster Variance Algorithm [J].Acta Automatica Sinica,2017,43(4):528-536. [30]SONI U,TRIVEDI A,ROBERTS N.Real-time hand tracking using integrated optical flow and CAMshift algorithm[C]∥Second International Conference on Research in Computational Intelligence and Communication Networks.IEEE,2017:135-140. [31]ZHANG Z,WEI S,SONG Y,et al.Gesture Recognition Using Enhanced Depth Motion Map and Static Pose Map[C]∥IEEE International Conference on Automatic Face & Gesture Recognition.IEEE,2017. [32]TRAN T H,VO T H,TRAN D T,et al.Dynamic hand gesture recognition using RGB-D motion history and kernel descriptor[C]∥International Conference on Advanced Technologies for Communications.IEEE,2014:268-273. [33]QIN S,YANG Y,JIANG Y.Gesture recognition from depth ima-ges using motion and shape features[C]∥International Symposium on Instrumentation and Measurement,Sensor Network and Automation.IEEE,2014:172-175. [34]REN Z,YUAN J,ZHANG Z.Robust hand gesture recognition based on finger-earth mover’s distance with a commodity depthcamera[C]∥ACM International Conference on Multimedia.ACM,2011:1093-1096. [35]SINGHA J,LASKAR R H.Hand gesture recognition usingtwo-level speed normalization,feature selection and classifier fusion[J].Multimedia Systems,2017,23:1-16. [36]BERGH M V D,GOOL L V.Combining RGB and ToF cameras for real-time 3D hand gesture interaction[C]∥IEEE Workshop on Applications of Computer Vision.IEEE Computer Society,2011:66-72. [37]CHONG Y,HUANG J,PAN S.Hand Gesture RecognitionUsing Appearance Features Based on 3D Point Cloud[J].Journal of Software Engineering & Applications,2016,9(4):103-111. [38]WU L Y,WEI S N,ZHOU B B,et al.Hierarchical extremelearning machine gesture recognition method based on PCA dimension reduction[J].Electronic Measurement Technology,2017,40(3):82-88.(in Chinese) 吴良圆,魏书宁,周棒棒,等.基于PCA降维的分层超限学习机手势识别方法.电子测量技术,2017,40(3):82-88. [39]CHAI X,LIU Z,YIN F,et al.Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition[C]∥International Conference on Pattern Recognition.IEEE,2017:31-36. [40]HE F Z.Research on gesture recognition based on Kinect depth information [D].Wuhan:Huazhong University of Science and Technology,2015.(in Chinese) 贺芳姿.基于Kinect深度信息的手势识别研究[D].武汉:华中科技大学,2015. [41]JMAA A B,MAHDI W,JEMAA Y B,et al.Arabic sign language recognition based on HOG descriptor[J].Proceedings of the Spie,2017,225:102250H. [42]YASIR F,PRASAD P W C,ALSADOON A,et al.SIFT based approach on Bangla sign language recognition[C]∥IEEE,International Workshop on Computational Intelligence and Applications.IEEE,2016:35-39. [43]CHAARAOUI A A,PADILLALOPEZ J R,FLOREZRE-VUELTA F.Fusion of Skeletal and Silhouette-Based Features for Human Action Recognition with RGB-D Devices[C]∥The Workshop on Consumer Depth Cameras for Computer Vision.IEEE,2013:91-97. [44]REN Z,YUAN J,MENG J,et al.Robust Part-Based Hand Gesture Recognition Using Kinect Sensor [J].IEEE Transactions on Multimedia,2013,15(5):1110-1120. [45]JU Z,GAO D,CAO J,et al.A novel approach to extract hand gesture feature in depth images [J].Multimedia Tools & Applications,2016,75(19):11929-11943. [46]WANG C,CHAN S C.A new hand gesture recognition algo-rithm based on joint color-depth Superpixel Earth Mover’s Distance[C]∥International Workshop on Cognitive Information Processing.IEEE,2014:1-6. [47]FENG Z Q,LIU H.Hand Gesture Recognition Using Binarial Coding and Class-Hausdorff Distance[J].Acta Tribune of Electronics,2017,45(9):2281-2291.(in Chinese) 冯志全,刘弘.结合手势二进制编码和类-Hausdorff距离的手势识别[J].电子学报,2017,45(9):2281-2291. [48]ZHANG C,YANG X,TIAN Y L.Histogram of 3D facets:a characteristic descriptor for hand gesture recognition [C]∥Proceeding of 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition(F-G).IEEE,2013:1-8. [49]OREIFEJ O,LIU Z.HON4D:Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences[C]∥Computer Vision and Pattern Recognition.IEEE,2013:716-723. [50]ZHANG J R.Study on Somatosensory Interaction Technology of Virtual Environment Based on Kinect Gesture Recognition [D].Chongqing:Chongqing University of Posts and Telecommunications,2016.(in Chinese) 张建荣.基于Kinect手势识别的虚拟环境体感交互技术研究[D].重庆:重庆邮电大学,2016. [51]LIN J,RUAN X,YU N,et al.One-shot learning gesture recognition based on improved 3D SMoSIFT feature descriptor from RGB-D videos ∥Control and Decision Conference (CCDC),2015 27th Chinese.IEEE,2015:4911-4916. [52]GAO Z.Gesture recognition based on multi-spatial feature fusion [J].Microsystems,2016,37(7):1577-1582.(in Chinese) 高喆.多重空间特征融合的手势识别[J].小型微型计算机系统,2016,37(7):1577-1582. [53]LIANG C,QI L,CHEN E,et al.Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients[C]∥IEEE,International Conference on Biometrics Theory,Applications and Systems.IEEE,2016:1-7. [54]GONG D Y,HUANG M,ZHANG H B,et al.An adaptive feature selection method for human behavior recognition in RGBD [J].Journal of Intelligent Systems,2017,12(1):1-7.(in Chinese) 龚冬颖,黄敏,张洪博,等.RGBD人体行为识别中的自适应特征选择方法[J].智能系统学报,2017,12(1):1-7. [55]BERNFT D,CLIHORD J.Using Dynamic Time Warping toFind Patterns in Sequences[C]∥International Conference on Knowledge Discovery and Data Mining.AAAI Press,1994:359-370. [56]FUREY T S,CRISTIANINI N,DUFFY N,et al.Support vector machine classification and validation of cancer tissuesamples using microarray expression data[J].Bioinformatics,2000,16(10):906. [57]FINE S,SINGER Y,TISHBY N.The Hierarchical HiddenMarkov Model:Analysis and Applications[M].Machine Lear-ning,1998,32 (1):41-62. [58]HAYKIN S.Neural Networks:A Comprehensive Foundation[J].Neural Networks,2004,2(2004):41. [59]WU T,DING X.Video object tracking using improved chamfer matching and condensation particle filter[C]∥Proceedings of SPIE-The International Society for Optical Engineering.2008. [60]HONG P,HUANG T S,TURK M.Gesture modeling and recognition using finite state machines[C]∥IEEE International Conference on Automatic Face and Gesture Recognition.IEEE,2002:410-415. [61]PLOUFFE G,CRETU A M.Static and Dynamic Hand Gesture Recognition in Depth Data Using Dynamic Time Warping [J].IEEE Transactions on Instrumentation & Measurement,2016,65(2):305-316. [62]CORRADINI A.Dynamic Time Warping for Off-Line Recognition of a Small Gesture Vocabulary[C]∥IEEE ICCV Workshop on Recognition,Analysis,and Tracking of Faces and Gestures in Real-Time Systems.IEEE,2001:82-89. [63]HUANG D,YANG J.Temporal Gesture Recognition Based on Improved N-Dimensional Dynamic Time Warping[D].Electronic Science & Technology,2017. [64]ZHANG Y,ZHANG S,LUO Y,et al.Gesture track recognition based on Kinect depth image information and its applications[J].Application Research of Computers,2012,29(9):3547-3550. [65]LI Y,MIAO Q,TIAN K,et al.Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model[C]∥International Conference on Pattern Recognition.IEEE,2017:25-30. [66]GHOSH D K,ARI S.Static Hand Gesture Recognition UsingMixture of Features and SVM Classifier[C]∥International Conference on Communication Systems & Network Technologies.IEEE,2015:1094-1099. [67]STARNER T,PENTL A.Visual Recognition of American Sign Language Using Hidden Markov Models [C]∥International Workshop on Automatic Face & Gesture Recognition.1995:189-194. [68]SAHA S,LAHIRI R,KONAR A,et al.HMM-based gesture recognition system using kinect sensor for improvised human-computer interaction[C]∥International Joint Conference on Neural Networks.IEEE,2017:2776-2783. [69]CAMADA M Y O,CERQUEIRA J J F,LIMA A M N.Stereotyped gesture recognition:An analysis between HMM and SVM[C]∥IEEE International Conference on Innovations in Intelligent Systems and Applications.IEEE,2017:328-333. [70]GORDON N J,SALMOND D J,SMITH F M A.Novel ap-proach to non-linear and non-gaussion Bayesian state estimation [J].IEE Proceedings F-Radar and Signal Processing,1993,140(2):107-113. [71]ISARD M,BLAKE A.CONDENSATION—Conditional Density Propagation for Visual Tracking[J].International Journal of Computer Vision,1998,29(1):5-28. [72]HUANG L.Particle filter algorithm and its application in fingertip tracking [D].Xiangtan:Xiangtan University,2015.(in Chinese) 黄龙.粒子滤波算法及其在指尖跟踪中的应用研究[D].湘潭:湘潭大学,2015. [73]SUN R B.Research on gesture recognition technology based on particle filter [D].Nanjing:Nanjing University of Science and Technology,2009.(in Chinese) 孙荣斌.基于粒子滤波的手势识别技术研究[D].南京:南京理工大学,2009. [74]LIU F W,DING G Y,LI S Q,et al.An Algorithm of Human Hand Tracking and Gesture Recognition Based on ICONDENSA-TION Algorithm[J].Journal of Beijing Institute of Techno-logy,2007,27(12):1069-1072.(in Chinese) 刘法旺,丁刚毅,李善青,等.基于ICONDENSATION算法的人手跟踪与手势识别算法[J].北京理工大学学报,2007,27(12):1069-1072. [75]RAMEY A,GONZALEZ-PACHECO V,SALICHS M A.Integration of a low-cost RGB-D sensor in a social robot for gesture recognition[C]∥ACM/IEEE International Conference on Human-Robot Interaction.IEEE,2012:229-230. [76]ALVAREZ-ALVAREZ A,TRIVINO G,CORDN O.Bodyposture recognition by means of a genetic fuzzy finite state machine[C]∥IEEE,International Workshop on Genetic and Evolutionary Fuzzy Systems.IEEE,2011:60-65. [77]ZHANG H.Kinect-based gesture recognition and its application [D].Dalian:Dalian University of Technology,2014.(in Chinese) 张好.基于Kinect的手势识别及其应用[D].大连:大连理工大学,2014. [78]OTBERDOUT N,BALLIHI L,ABOUTAJDINE D.Hand pose estimation based on deep learning depth map for hand gesture recognition [C]∥Intelligent Systems and Computer Vision (ISCV).IEEE,2017:1-8. [79]ZHANG L,LIANG B,JIANG A.Recent Advances of DeepLearning for Sign Language Recognition[C]∥International Conference on Digital Image Computing:Techniques and Applications.2017:1-7. [80]HEICKAL H,ZHANG T,HASANUZZAMAN M.Real-time3D full body motion gesture recognition [C]∥IEEE International Conference on Robotics and Biomimetics.IEEE,2013:798-803. [81]SORCE S,GENTILE V,GENTILE A.Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect[C]∥Eighth International Conference on Broadband and Wireless Computing,Communication and Applications.IEEE,2013:344-350. [82]TANG A,LU K,WANG Y,et al.A Real-Time Hand Posture Recognition System Using Deep Neural Networks [J].ACM Transactions on Intelligent Systems & Technology,2015,6(2):1-23. [83]HUANG J,ZHOU W,LI H,et al.Sign Language Recognition using 3D convolutional neural networks[C]∥IEEE Internatio-nal Conference on Multimedia and Expo.IEEE,2015:1-6. [84]MOLCHANOV P,GUPTA S,KIM K,et al.Hand gesture re-cognition with 3D convolutional neural networks[C]∥Compu-ter Vision and Pattern Recognition Workshops.IEEE,2015:1-7. [85]MOLCHANOV P,YANG X,GUPTA S,et al.Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks[C]∥Computer Vision and Pattern Recognition.IEEE,2016:4207-4215. [86]GASPARRINI S,CIPPITELLI E,GAMBI E,et al.Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using Kinect[C]∥Iet International Conference on Technologies for Active and Assisted Living.IET,2015:1-6. [87]WU D,PIGOU L,KINDERMANS P J,et al.Deep DynamicNeural Networks for Multimodal Gesture Segmentation and Recognition [J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2016,38(8):1583-1597. [88]BAO P,MAQUEDA A I,DEL-BLANCO C R,et al.Tiny hand gesture recognition without localization via a deep convolutional network[J].IEEE Transactions on Consumer Electronics,2017,63(3):251-257. [89]CAI L,CUI S,MIN X,et al.Dynamic hand gesture recognition using RGB-D data for natural human-computer interaction[J].Journal of Intelligent & Fuzzy Systems,2017,32(5):3495-3507. [90]OHN-BAR E,TRIVEDI M M.Hand Gesture Recognition inReal Time for Automotive Interfaces:A Multimodal Vision-Based Approach and Evaluations[J].IEEE Transactions on Intelligent Transportation Systems,2014,15(6):2368-2377. [91]YAN L M,DU B,LI Y,et al.An extraction of key feature points and recognition of dynamic gesture trajectory based on depth data [J].Industrial Control Computer,2015,28(11):86-88.(in Chinese) 严利民,杜斌,李跃,等.基于深度数据的关键特征点提取及动态手势轨迹识别[J].工业控制计算机,2015,28(11):86-88. [92]MARIN G,DOMINIO F,ZANUTTIGH P.Hand gesture recognition with jointly calibrated Leap Motion and depth sensor [J].Multimedia Tools & Applications,2016,75(22):1-25. [93]YAO Y Y.Research and implementation of key technologies of dynamic gesture recognition[D].Chongqing:Chongqing University of Posts and Telecommunications,2016.(in Chinese) 姚圆圆.动态手势识别的关键技术研究及实现[D].重庆:重庆邮电大学,2016. [94]ZHANG Q,DENG F.Dynamic Gesture Recognition based on LeapMotion and HMM-CART Model .Journal of Physics:Conference Series,2017,910(1):012037. [95]TUNTAKURN A,THONGVIGITMANEE S S,SA-ING V,et al.Natural interactive 3D medical image viewer based on finger and arm gestures[C]∥Biomedical Engineering International Conference.IEEE,2013:1-5. [96]ABDELNABY M,ELAZEM M A,ALY H A,et al.Augmented Reality Maintenance Training with Intel Depth Camera[C]∥International Conference on Machine Vision and Information Technology.IEEE,2017:116-122. [97]SONG L,WEN F.The Human-Computer Interaction Designand Research of Virtual Experiment [C]∥Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics.IEEE,2014:50-53. [98]MOLCHANOV P,GUPTA S,KIM K,et al.Hand gesture re-cognition with 3D convolutional neural networks [C]∥Compu-ter Vision and Pattern Recognition Workshops.IEEE,2015:1-7. |
[1] | ZHANG Yuan, KANG Le, GONG Zhao-hui, ZHANG Zhi-hong. Related Transaction Behavior Detection in Futures Market Based on Bi-LSTM [J]. Computer Science, 2022, 49(7): 31-39. |
[2] | ZENG Zhi-xian, CAO Jian-jun, WENG Nian-feng, JIANG Guo-quan, XU Bin. Fine-grained Semantic Association Video-Text Cross-modal Entity Resolution Based on Attention Mechanism [J]. Computer Science, 2022, 49(7): 106-112. |
[3] | CHENG Cheng, JIANG Ai-lian. Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [J]. Computer Science, 2022, 49(7): 120-126. |
[4] | LIU Wei-ye, LU Hui-min, LI Yu-peng, MA Ning. Survey on Finger Vein Recognition Research [J]. Computer Science, 2022, 49(6A): 1-11. |
[5] | LI Sun, CAO Feng. Analysis and Trend Research of End-to-End Framework Model of Intelligent Speech Technology [J]. Computer Science, 2022, 49(6A): 331-336. |
[6] | GAO Yuan-hao, LUO Xiao-qing, ZHANG Zhan-cheng. Infrared and Visible Image Fusion Based on Feature Separation [J]. Computer Science, 2022, 49(5): 58-63. |
[7] | ZHANG Ji-kai, LI Qi, WANG Yue-ming, LYU Xiao-qi. Survey of 3D Gesture Tracking Algorithms Based on Monocular RGB Images [J]. Computer Science, 2022, 49(4): 174-187. |
[8] | ZUO Jie-ge, LIU Xiao-ming, CAI Bing. Outdoor Image Weather Recognition Based on Image Blocks and Feature Fusion [J]. Computer Science, 2022, 49(3): 197-203. |
[9] | REN Shou-peng, LI Jin, WANG Jing-ru, YUE Kun. Ensemble Regression Decision Trees-based lncRNA-disease Association Prediction [J]. Computer Science, 2022, 49(2): 265-271. |
[10] | ZHANG Shi-peng, LI Yong-zhong. Intrusion Detection Method Based on Denoising Autoencoder and Three-way Decisions [J]. Computer Science, 2021, 48(9): 345-351. |
[11] | LIU Liang, PU Hao-yang. Real-time LSTM-based Multi-dimensional Features Gesture Recognition [J]. Computer Science, 2021, 48(8): 328-333. |
[12] | FENG Xia, HU Zhi-yi, LIU Cai-hua. Survey of Research Progress on Cross-modal Retrieval [J]. Computer Science, 2021, 48(8): 13-23. |
[13] | ZHANG Li-qian, LI Meng-hang, GAO Shan-shan, ZHANG Cai-ming. Summary of Computer-assisted Tongue Diagnosis Solutions for Key Problems [J]. Computer Science, 2021, 48(7): 256-269. |
[14] | BAO Yu-xuan, LU Tian-liang, DU Yan-hui, SHI Da. Deepfake Videos Detection Method Based on i_ResNet34 Model and Data Augmentation [J]. Computer Science, 2021, 48(7): 77-85. |
[15] | CHEN Yang, WANG Jin-liang, XIA Wei, YANG Hao, ZHU Run, XI Xue-feng. Footprint Image Clustering Method Based on Automatic Feature Extraction [J]. Computer Science, 2021, 48(6A): 255-259. |
|