期刊文献+

基于三维建模的眼镜遮挡下人脸识别 被引量:4

A Glasses-Occluded Face Recognition Method Based on 3D Face Reconstruction
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摘要 眼镜作为人脸特征的不稳定性是眼镜遮挡人脸识别的主要问题.为避免现有方法消除不稳定眼镜特征时带来的人脸特征丢失,将眼镜视为人脸固有部分,提出一种基于三维建模生成人脸虚拟样本补偿眼镜不稳定性的方法.三维建模方便眼镜模型参数的调节.通过调节眼镜参数,具体分析眼镜不同部分对人脸识别的影响,同时,针对影响严重的镜片模糊和反光,均做相应处理.CAL-PEAL的实验表明本文方法对识别性能的大幅度改善,并验证镜片处理的有效性. The instability of eyeglasses treated as facial features is the primary obstacle in glasses-occluded face recognition. The facial features are easily lost by the existing method while eliminating the influence of instable glasses characteristics. To avoid this problem, a 3D realistic face model reconstruction is applied for virtual face images generation are set as an inherent part of face. to compensate the instability of the glasses. In the method, the glasses 3 D face reconstruction increases the for different glasses models. Based on this, various influences of feasibility of parameter adjustment glasses analyzed. Also, corresponding solutions to image distortion by lens blur Experiments on CAS-PEAL database demonstrate the improvement of segment on face recognition are and reflection are carried out. the proposed method on facerecognition rate and verify the effectiveness of lens treatment.
出处 《模式识别与人工智能》 EI CSCD 北大核心 2011年第5期692-699,共8页 Pattern Recognition and Artificial Intelligence
关键词 人脸识别 眼镜遮挡 3D重建 眼镜模型 镜片模糊与反光 Face Recognition, Glasses-Occluded, 3D Reconstruction, Glasses Model, Lens Blur andReflection
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参考文献17

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同被引文献25

  • 1蔡念,胡匡祜,李淑宇,苏万芳.小波神经网络及其应用[J].中国体视学与图像分析,2001,6(4):239-245. 被引量:31
  • 2柴秀娟,山世光,卿来云,陈熙霖,高文.基于3D人脸重建的光照、姿态不变人脸识别[J].软件学报,2006,17(3):525-534. 被引量:54
  • 3Wright J,Yang A Y,Ganesh A. Robust face recognition via sparse representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,(02):210-227.
  • 4Tan X,Chen S,Zhou Z H. Face recognition under occlusions and variant expressions with partial similarity[J].IEEE Transactions on Information Forensics and Security,2009,(02):217-230.
  • 5Miranda D.查看详情[OL],wwwthefacewemakeorg.
  • 6Goldberg L J. Face Recognition and the Social Individu- al[J]. Biosemiotics, 2013, 6(3): 573-583.
  • 7Chiang C C, Chen Z W. Recognizing partially-occluded faces by recovering normalized facial appearance [J]. In- ternational Journal of Innovative Computing Information & Control, 2011, 7(11): 6219-6234.
  • 8程正东.基于子空间的人脸识别[M]//基于子空间的人脸识别.清华大学出版社,2009.
  • 9Liu G, Yan Y, Wang H. Robust Modular Linear Regres- sion Based Classification for Face Recognition with Oc- clusion[C]// IEEE: International Conference on Image and Graphics. IEEE: NY, USA. 2013: 509-514.
  • 10Wright J, Yang A Y, Ganesh A, et al. Robust Face Recog- nition via Sparse Representation [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2009, 31 (2): 210 - 227.

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