Parameterized variety for multi-view multi-exposure image synthesis and high dynamic range stereo reconstruction
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Cites background from "Parameterized variety for multi-vie..."
...The extensive research in high dynamic range imaging, Ultra HD, 4K, 8K, HDR & 3D display technology is directed towards providing close to natural, high quality 3D experience to the end users [1, 2, 3, 4]....
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References
201 citations
"Parameterized variety for multi-vie..." refers methods in this paper
...Camera views C0 to C10 are taken and exposures are added by applying one of the response functions obtained from DoRF/EMoR database [6]....
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...Recovered inverse response curves (brightness vs irradiance) for each color channel plotted against ground truth EMoR Model [6]....
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118 citations
"Parameterized variety for multi-vie..." refers methods in this paper
...The second stage merges this variety model with MVS algorithm [5], to robustly fuse information from actual and synthesized artifacts free multi-exposed images....
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...We adopt the method proposed in [5] to reconstruct the HDR texture 3D model of the scene....
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...Calibration is obtained by upgrading projective reconstruction upto Euclidean by imposing the constraints on the absolute conic and internal camera parameters [5]....
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41 citations
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"Parameterized variety for multi-vie..." refers methods in this paper
...It constructs a complete parameterization of 3D space which is not the case in weak and paraperspective cases as explained in [1]....
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...We extend the parameterized variety approach for rendering presented earlier by Genc and Ponce [1] to handle full perspective cameras....
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...Parameterized Image Variety (or PIV) was proposed earlier by Genc and Ponce [1] for image based rendering....
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...[1] Y. Genc, J. Ponce, Image Based rendering using parameterized image varieties, IJCV, vol. 41, issue 3, pp. 143-170, 2001....
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