基於人臉年齡變化模式之年齡估計

本篇論文對X. Geng et al. 所提的人臉影像重建與年齡估計方法加以改進與解決其潛在的一些問題。對於訓練樣本中每一aging pattern中的遺失影像，以結合內插影像與該年齡的平均影像之加權平均結果來填補，填補後的結果稱之為 “全填滿年齡變化模式” (full-filled aging pattern)。相對於X. Geng et al. 使用PCA，本篇論文利用2DPCA訓練求得一個轉換矩陣，用來重建aging pattern中的遺失影像與估計人臉影像之年齡。在實驗中我們試不同年齡間距與不同長度之aging patterns訓練轉換矩陣，探討不同的因素如何影響測試結果。

關鍵字

年齡變化模式；外觀模型；主成分分析；二維主成分分析；線性內插

並列摘要

This paper proposes an age estimation method that improves the method proposed by Xin Geng et al. in some respects: (1). Time efficiency is improved by using 2DPCA instead of PCA. (2). To solve the problem of having infinitely many solutions inherent in the system for solving the projection vectors, we modified the coefficient matrix of the system so the unique solution can be easily evaluated. (3). The proposed method was tested in several fashions to analyze possible factors that cause some problems.

並列關鍵字

Aging pattern ； Appearance Models ； PCA ； 2DPCA ； linear interpolation

參考文獻

[1] I. Jolliffe, “Principal Component Analysis,” 2nd ed. Springer-Verlag, 2002.

[2] X. Geng, Z.-H. Zhou, and K. Smith-Miles “Automatic Age Estimation Based on Facial Aging Patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 12, pp. 2234 -2240, 2007.

[3] G. J. Edwards, A. Lanitis, and C. J. Cootes, “Statistical Face Models: Improving Specificity,” Image Vision Computing, Vol. 16, No. 3, pp. 203-211, 1998.

[6] J. Yang and D. Zhang, “Two-Dimensional PCA:A New Approach to Appearance-Based Face Representation and Recognition, ” IEEE Tranactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 1, January 2004.

[7] H. Han, C. Otto, and A. K. Jain, “Age Estimation from Face Images: Human vs. Machine Performance, ” International Conference on Biometrics, June 2013.

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基於人臉年齡變化模式之年齡估計

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