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- W2096819128 abstract "The Cramer-Rao error bound provides a fundamental limit on the expected performance of a statistical estimator. The error bound depends on the general properties of the system, but not on the specific properties of the estimator or the solution. The Cramer-Rao error bound has been applied to scalar- and vector-valued estimators and recently to parametric shape estimators. However, nonparametric, low-level surface representations are an important tool in 3D reconstruction, and are particularly useful for representing complex scenes with arbitrary shapes and topologies. We present a generalization of the Cramer-Rao error bound to nonparametric shape estimators. Specifically, we derive the error bound for the full 3D reconstruction of scenes from multiple range images." @default.
- W2096819128 created "2016-06-24" @default.
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- W2096819128 date "2004-06-22" @default.
- W2096819128 modified "2023-10-16" @default.
- W2096819128 title "Cramer-Rao bounds for nonparametric surface reconstruction from range data" @default.
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- W2096819128 doi "https://doi.org/10.1109/im.2003.1240234" @default.
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