Florence 3D Faces Dataset

This dataset is being constructed specifically to support research on techniques that bridge the gap between 2D, appearance-based recognition techniques, and fully 3D approaches. It is designed to simulate, in a controlled fashion, realistic surveillance conditions and to probe the efficacy of exploiting 3D models in real scenarios.

本数据集旨在专门支持研究跨越二维、基于外观的识别技术与完整三维方法之间差距的技术。其设计理念在于以受控方式模拟现实监控环境，并探究在真实场景中利用三维模型的有效性。