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Opt."],"published-print":{"date-parts":[[2026,3,20]]},"abstract":"<jats:p>Three-dimensional (3D) vision reconstruction has been an essential approach to scene understanding, which can hardly strike a good balance among compact structures, high resolution, and flexible viewpoints. In this paper, we demonstrate a prism-empowered virtual multiview stereo vision architecture that allows 3D reconstruction with a single stationary camera. A variable-boresight perspective projection model is presented to characterize the multiview image acquisition process using the combination of a camera and a rotational wedge prism. A model-driven 3D reconstruction performance analysis method is further proposed by considering systematic and random errors, from which an error suppression strategy based on cross-view constraints is formulated. Moreover, a flexible multiview stereo matching method is developed by automatically calibrating the prism-driven dynamic virtual camera via motion estimation and intrinsic optimization. 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