发表机构
Nara Institute of Science and Technology; Kyoto University（奈良先端科学技术大学院大学; 京都大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出基于角度到光谱多样性转换的快照高光谱成像系统，利用锥形万花筒和双折射滤光片实现低成本、紧凑且稳定的单次光谱重建。
AI 中文摘要
快照高光谱成像避免了顺序扫描，但能够同时实现稳定重建、低成本和紧凑光学的系统仍然有限。我们提出了一种基于角度到光谱多样性转换的快照高光谱成像系统。锥形万花筒产生具有不同入射方向的复制视图，直接附着的双折射滤光片将其转换为依赖于视图通道的光谱透射率，产生互补测量，从而更好地调节逆问题，实现更稳定的单次光谱重建。该系统保持了简单的逐像素线性模型，用于快速非学习重建，并且仅使用现成组件，无需中继光学或级联模块。我们使用基于条件数的准则选择双折射滤光片配置，并在合成数据和真实数据上验证了该系统。
英文摘要
Snapshot hyperspectral imaging avoids sequential scanning, but systems that jointly achieve stable reconstruction, low cost, and compact optics remain limited. We present a snapshot hyperspectral imaging system based on angular-to-spectral diversity conversion. A tapered kaleidoscope creates replicated views with distinct incidence directions, and a directly attached birefringent filter converts them into view-channel-dependent spectral transmittances, yielding complementary measurements that better condition the inverse problem for more stable single-shot spectral reconstruction. The system preserves a simple pixel-wise linear model for fast non-learning-based reconstruction and uses only off-the-shelf components without relay optics or cascaded modules. We select the birefringent filter configuration using a condition-number-based criterion and validate the system on both synthetic and real data.
CommentsECCV 2026. 18 pages + 10 pages supplementary material
Journal refComputer Vision - ECCV 2026, Lecture Notes in Computer Science, vol. 17064, pp. 589-606, Springer, Cham, 2026
DOI：10.1007/978-3-032-37196-6_32
