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Pose-invariant face recognition using 3D multi-depth generic elastic models.

, , , and . FG, page 1-6. IEEE Computer Society, (2015)

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How is the Power of the Baidu Index for Forecasting Hotel Guest Arrivals? -A Case Study of Guilin., , , and . ICPCSEE (2), volume 1629 of Communications in Computer and Information Science, page 185-211. Springer, (2022)Study on Risk-time-dependent Path Programming., , and . ICNSC, page 1109-1113. IEEE, (2008)Practical pose normalizaiton for pose-invariant face recognition., , and . ACPR, page 116-120. IEEE, (2015)From one to many: Pose-Aware Metric Learning for single-sample face recognition., , , and . Pattern Recognit., (2018)Pose-invariant face recognition using 3D multi-depth generic elastic models., , , and . FG, page 1-6. IEEE Computer Society, (2015)Novel Parameterized Utility Function on Dual Hesitant Fuzzy Rough Sets and Its Application in Pattern Recognition., , , , and . Inf., 10 (2): 71 (2019)Adaptive Quotient Image with 3D Generic Elastic Models for Pose and Illumination Invariant Face Recognition., and . CCBR, volume 9428 of Lecture Notes in Computer Science, page 3-10. Springer, (2015)Illumination-Recovered Pose Normalization for Unconstrained Face Recognition., , and . ACCV (3), volume 10113 of Lecture Notes in Computer Science, page 217-233. Springer, (2016)Lighting-aware face frontalization for unconstrained face recognition., , , and . Pattern Recognit., (2017)One-shot deep neural network for pose and illumination normalization face recognition., and . ICME, page 1-6. IEEE Computer Society, (2016)