从立体视频三维人脸重建

U. Park, Anil K. Jain
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引用次数: 26

摘要

视频中的人脸处理由于其在许多安全相关应用中的重要性而受到广泛关注。视频提供了关于人脸的丰富信息(多帧和时间相干性),如果可用,可以与3D人脸模型结合使用,以确定受试者的身份。我们提出了一种三维人脸建模方法,该方法从一个通用的三维人脸模型和用户的两个视频帧中重建一个用户特定的模型。用户特定的3D人脸模型可以在注册阶段注册到3D人脸数据库中,以供后期识别过程使用。该重建过程也可用于识别阶段的探针数据,其中使用探针面部重建的三维人脸模型用于生成识别过程的最佳视图和照明。通过对包含100个受试者的图库数据库进行15个探针受试者的人脸识别实验,证明了利用重建的三维人脸模型的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Face Reconstruction from Stereo Video
Face processing in video is receiving substantial attention due to its importance in many securityrelated applications. A video provides rich information about a face (multiple frames and temporal coherence) that can be utilized in conjunction with 3D face models, if available, to establish a subject’s identity. We propose a 3D face modeling method that reconstructs a user-specific model derived from a generic 3D face model and two video frames of the user. The user-specific 3D face model can be enrolled into the 3D face database at the enrollment stage to be used in later identification process. The reconstruction process can also be used for the probe data in recognition stage, where the reconstructed 3D face model using probe face is used to generate an optimal view and lighting for the recognition process. The advantage of utilizing reconstructed 3D face model is demonstrated by conducting face recognition experiments for 15 probe subjects against a gallery database containing 100 subjects.
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