Ensuring robustness in face recognition systems across various challenging
conditions is crucial for their versatility. State-of-the-art methods often
incorporate additional information, such as depth, thermal, or angular data, to
enhance performance. However, light field-based face recognition approaches
that leverage angular information face computational limitations. This paper
investigates the fundamental trade-off between spatio-angular resolution in
light field representation to achieve improved face recognition performance. By
utilizing macro-pixels with varying angular resolutions while maintaining the
overall image size, we aim to quantify the impact of angular information at the
expense of spatial resolution, while considering computational constraints. Our
experimental results demonstrate a notable performance improvement in face
recognition systems by increasing the angular resolution, up to a certain
extent, at the cost of spatial resolution.

光场表征中角度信息与空间角分辨率之间存在的权衡关系对人脸识别性能产生着显著的影响。本研究通过在保持整体图像大小的基础上利用具有不同角度分辨率的宏像素，以评估角度信息在空间分辨率降低的代价下对人脸识别性能的影响。实验结果表明，通过增加角度分辨率，可以在一定程度上显著提高人脸识别系统的性能。