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Flexible foveated imaging using a single Risley-prism imaging system

Feng Huang, He Ren, Xianyu Wu, Pengfei Wang

2021Optics Express19 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PrismComputer scienceComputer visionArtificial intelligenceOpticsRotation (mathematics)Field of viewFlexibility (engineering)PhysicsMathematicsStatisticsAdvanced Vision and ImagingAdvanced Image and Video Retrieval TechniquesVisual Attention and Saliency Detection