![]() ![]() ![]() The LTM contains information on both optical systems and the 3D scene. We propose a multiresolution approach based on the sum-to-one transform, coupled with compressive sensing principles, for efficient estimation of the light transport matrix (LTM). In contrast to stereo vision, dual imaging systems use a camera and a projector instead of a camera pair. In this paper, a dual imaging technique is used for high-precision reconstruction of an observed 3D scene. We demonstrate the applicability of the proposed approach on a structured light surface scanner comprised of three projectors and six cameras. The proposed approach does not place any restrictions on projector placement nor on the upper limit of the number of projectors used. In our approach a different set of temporal phase shifts is assigned to each projector to enable efficient and robust separation of observed combined patterns into the contributions of each projector. We describe a practical approach to multi-projector structured light surface scanning based on sinusoidal fringe patterns and temporal phase shifting which allows simultaneous projector employment. ![]() Using multiple projectors is a challenging problem due to inter-projector interference which make pattern decoding hard. ![]() Multiple projectors must be employed to extend the imaging area over the whole surface of the imaged object. Structured light surface scanners are usually limited to a single projector and cannot provide a full surface profile in a single scan. ![]()
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