Compression for 3D face recognition applications

L. Granai, M. Hamouz, J. Tena, T. Vlachos
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引用次数: 4

Abstract

This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition performances on the face recognition grand challenge database. Whilst preserving the spatial resolution enabling reconstruction of surface details, the proposed scheme achieves substantial compression to the extent that personal 3D biometric data could fit on a 2D barcode.
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压缩3D人脸识别应用程序
提出了一种针对三维人脸的有损压缩算法。分析了压缩对人脸验证率的影响,并在人脸识别大挑战数据库上测量了人脸识别性能。在保留空间分辨率以重建表面细节的同时,所提出的方案实现了大量的压缩,以至于个人3D生物特征数据可以放在二维条形码上。
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