Opt Express. 2021 Nov 22;29(24):40072-40090. doi: 10.1364/OE.442662.
Foveated imaging, which has the ability to provide overall situational awareness over a large field of view and high-resolution perception of local details, has significant advantages in many specific applications. However, existing artificially foveated imaging systems are complex, bulky, and expensive, and the flexibility of the fovea specifically has many limitations. To overcome these deficiencies, this paper proposes a method for foveated imaging by collecting multiple partially overlapping sub-fields of view. To capture the above special sub-fields of view, we propose a high-efficiency algorithm based on the characteristics of the field of view deflected by the Risley-prism and aimed at solving the prism rotation angles. In addition, we prove the reliability of the proposed algorithm by cross-validation with the particle swarm optimization algorithm. The experimental results show that the proposed method can achieve flexible foveated imaging using a single Risley-prism imaging system.
注视点成像具有在大视场中提供整体态势感知和对局部细节的高分辨率感知的能力，在许多特定应用中具有显著优势。然而，现有的人工注视点成像系统复杂、庞大且昂贵，并且注视点的灵活性存在许多限制。为了克服这些缺陷，本文提出了一种通过采集多个部分重叠的子视场来实现注视点成像的方法。为了捕获上述特殊子视场，我们提出了一种基于 Risley 棱镜偏转视场特点的高效算法，旨在解决棱镜旋转角度问题。此外，我们通过与粒子群优化算法的交叉验证证明了所提出算法的可靠性。实验结果表明，所提出的方法可以使用单个 Risley 棱镜成像系统实现灵活的注视点成像。
