Event-Based Bispectral Photometry Using Temporally Modulated Illumination
Tsuyoshi Takatani, Yuzuha Ito, Ayaka Ebisu, Yinqiang Zheng, Takahito Aoto
Abstract
Analysis of bispectral difference plays a critical role in various applications that involve rays propagating in a light absorbing medium. In general, the bispectral difference is obtained by subtracting signals at two individual wavelengths captured by ordinary digital cameras, which tends to inherit the drawbacks of conventional cameras in dynamic range, response speed and quantization precision. In this paper, we propose a novel method to obtain a bispectral difference image using an event camera with temporally modulated illumination. Our method is rooted in a key observation on the analogy between the bispectral photometry principle of the participating medium and the event generating mechanism in an event camera. By carefully modulating the bispectral illumination, our method allows to read out the bispectral difference directly from triggered events. Experiments using a prototype imaging system have verified the feasibility of this novel usage of event cameras in photometry based vision tasks, such as 3D shape reconstruction in water.
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Cited by top-tier papers8
- E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesYunshan Qi, Lin Zhu, Yu Zhang, Jia LiICCV 2023 · 71 citations
- Coded-E2LF: Coded Aperture Light Field Imaging from EventsTomoya Tsuchida, Keita Takahashi, Chihiro Tsutake, Toshiaki Fujii et al.CVPR 2026 · 2 citations
- EvDiG: Event-guided Direct and Global Components SeparationXinyu Zhou, Peiqi Duan, Boyu Li, Chu Zhou et al.CVPR 2024 · 2 citations
- High-fidelity Event-Radiance Recovery via Transient Event FrequencyJin Han, Yuta Asano, Boxin Shi, Yinqiang Zheng et al.CVPR 2023
- PS-EIP: Robust Photometric Stereo Based on Event Interval ProfileKazuma Kitazawa, Takahito Aoto, Satoshi Ikehata, Tsuyoshi TakataniCVPR 2025
Builds on2
- End-to-End Learning of Representations for Asynchronous Event-Based DataDaniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide ScaramuzzaICCV 2019 · 427 citations
- Learning an Event Sequence Embedding for Dense Event-Based Deep StereoStepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler et al.ICCV 2019 · 122 citations
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