In this study, we present an integrated stereoscopic and hyperspectral imaging system designed to overcome the limitations of traditional quantitative hyperspectral imaging, notably the dependency on precise camera-sample distance measurements. Our approach combines advanced depth-sensing technology with a compact hyperspectral camera, featuring integrated RGB sensors, to facilitate automated synchronization, system integration, and reconstruction through epipolar geometry and image co-registration. The system acquires hyperspectral data cubes along predefined camera trajectories, enabling full 3D hyperspectral representations via global alignment, a significant enhancement over conventional methods that lack depth resolution. This methodology has the potential to eliminate the need for strict camera-sample distance calibration and appends a morphological dimension to hyperspectral tissue analysis. The system's efficacy is demonstrated in vivo, focusing on non-contact human skin imaging. The integration of stereoscopic depth and hyperspectral data in our system marks a significant advancement in spectroscopic tissue analysis, with promising applications in telehealth, enhancing both the diagnostic capabilities and accessibility of advanced imaging technologies.
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