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- W2115662686 abstract "Advances in building high-performance camera arrays have opened the opportunity - and challenge - of using these devices for synchronized 3D and multi-viewpoint capture. A requirement of using camera arrays for metric work is that their relative poses be known. With a structured array - that is, one whose imagers' intrinsics and relative positions do not change - it is feasible to perform this calibration once, before any use. We present progress in developing a new approach to this calibration that capitalizes on high quality homographies between pairs of imagers to develop a global optimal solution delivering epipoles and fundamental matrices simultaneously for the entire system. The method exploits what we identify as the rank-one-perturbation-of-identity (ROPI) structure of homologies in posing a unified SVD estimator for the parameters. We summarize the theory, and present both qualitative depictions and quantitative assessments of our results." @default.
- W2115662686 created "2016-06-24" @default.
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- W2115662686 date "2007-05-01" @default.
- W2115662686 modified "2023-09-26" @default.
- W2115662686 title "Exploiting Homologies in Global Calibration of a Multi-imager Array" @default.
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- W2115662686 doi "https://doi.org/10.1109/3dtv.2007.4379450" @default.
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