The evolution of anti-visual perception: biomimetics, spectral physics, and artificial intelligence
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ID: 328651
2026
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Abstract
Abstract The co-evolution of visual perception and anti-perception represents a biological arms race now accelerating as a technological ‘hide-and-seek’ in human society. This review synthesizes anti-visual perception as an emerging multidisciplinary paradigm spanning biological, physical, and computational domains. We examine biomimetic strategies—from morphological camouflage to tunable photonic microarchitectures—transformed into engineered prototypes for precise perception manipulation. We analyze the expansion into multi-spectral domains, elucidating matter-wave interactions and material designs enabling signature management from ultraviolet to microwave. We then explore the algorithmic frontier where anti-perception shifts from physical manipulation to exploiting AI vulnerabilities through adversarial attacks across digital, physical, and multimodal scenarios. Integrating these perspectives, this review charts a coherent trajectory and provides a forward-looking framework to guide next-generation camouflage, stealth, robust sensing, and trustworthy AI—continually redefining the contest between seeing and remaining unseen.
| Reference Key |
openalex_W7213454113
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|---|---|
| Authors | Yongxiang Liu, Mingyang Li, Zhen Liu, Panhe Hu, Jing Tian, Haowen Tan, Muang Ding, Xiaolong Su, Dongfang Guan, Li Liu |
| Journal | national science review |
| Year | 2026 |
| DOI |
10.1093/nsr/nwag601
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| URL | |
| Keywords | Keywords not found |
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