S. Lauritzen, "Random orthogonal set functions and stochastic models for the gravity potential of the earth," Stochastic Processes and Applications, Vol. 3, pp. 65--72, 1975. Home/Search Document Not in Database Summary Related Articles Check |
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A Full Bayesian Approach to Curve and Surface Reconstruction - Keren, Werman (1999) (3 citations) (Correct)
....objects from partial data. In computer vision, some references are [3, 13, 14, 35, 36] Reconstruction of surfaces from partial data has been studied in many other fields, for example petroleum exploration [29] geology [4] electronics [2] estimation of the gravitational field of the earth [20], and medical imaging [21, 22] In the field of maximum entropy, a similar idea is used for reconstruction of missing or corrupted data, as in image restoration [6, 9, 30 32] The data D can be sparse, e.g. the height of a small number of points on a surface, or dense but incomplete, e.g. the ....
S. Lauritzen, "Random orthogonal set functions and stochastic models for the gravity potential of the earth," Stochastic Processes and Applications, Vol. 3, pp. 65--72, 1975.
A Full Bayesian Approach to Curve and Surface Reconstruction - Keren, Werman (1999) (3 citations) (Correct)
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S. Lauritzen, "Random orthogonal set functions and stochastic models for the gravity potential of the earth," Stochastic Processes and Applications, Vol. 3, pp. 65--72, 1975.
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