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Despite the ubiquity of image sensors, capturing three-dimensional images remains a challenging task; a heterogeneous sensor with spatiotemporal memory could provide a simplified solution.
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local taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Zhou,
Y. et al. _Sci. Robot._ 9, eadi8666 (2024). Article Google Scholar * Feng, X., Ma, Y. & Gao, L. _Nat. Commun._ 13, 3333 (2022). Article Google Scholar * Li, Z. et al. _Nat.
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IEEE/CVF Conference on Computer Vision and Pattern Recognition_ 10371–10381 (IEEE, 2024). Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * College of Optical Science and
Engineering, Zhejiang University, Hangzhou, China Xiaohua Feng Authors * Xiaohua Feng View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING
AUTHOR Correspondence to Xiaohua Feng. ETHICS DECLARATIONS COMPETING INTERESTS The author declares no competing interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE
CITE THIS ARTICLE Feng, X. Efficient 3D imaging with reconfigurable sensors. _Nat Electron_ 8, 11–12 (2025). https://doi.org/10.1038/s41928-024-01258-1 Download citation * Published: 10
January 2025 * Issue Date: January 2025 * DOI: https://doi.org/10.1038/s41928-024-01258-1 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get
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