High-Resolution View Synthesis In Camera-Projector Systems Using Compressive Dual Imaging (CROSBI ID 697201)
Prilog sa skupa u zborniku | ostalo | međunarodna recenzija
Podaci o odgovornosti
Ralašić, Ivan ; Đonlić, Matea ; Seršić, Damir
engleski
High-Resolution View Synthesis In Camera-Projector Systems Using Compressive Dual Imaging
In this paper, a method for high-resolution view synthesis in a calibrated camera-projector system is proposed. Camera’s resolution is significantly lower than the projector’s resolution. Compressive sensing and sum-to-one transformation are used for an efficient light transport matrix estimation. The light transport matrix and Helmholtz reciprocity enable dual imaging, i.e. generating virtual images from the projector’s viewpoint and virtual relighting of the observed scene. Virtual fringe profilometry enables 3D reconstruction of the observed scene. Performing 3D reconstruction in the dual configuration of the camera-projector system results in a significantly denser point cloud. Reconstructed 3D points are back-projected onto the camera sensor using the camera’s projective matrix, resulting in a high-resolution image, synthesized from the camera’s viewpoint. The proposed method overcomes the spatial resolution limit of the imaging sensor, resulting in significantly increased spatial resolution of the camera’s images.
camera-projector systems ; compressive sensing ; dual imaging ; light transport ; view synthesis
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Podaci o prilogu
2020.
objavljeno
10.1145/3441233.3441236
Podaci o matičnoj publikaciji
Proceedings of 2020 3rd International Conference on Sensors, Signal and Image Processing (SSIP 2020), October 9--11, 2020, Prague, Czech Republic
Association for Computing Machinery (ACM)
978-1-4503-8828-3
Podaci o skupu
3rd International Conference on Sensors, Signal and Image Processing (SSIP 2020)
predavanje
09.10.2020-11.10.2020
Prag, Češka Republika