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In this paper nonparametric statistical technology is derived for estimating with confidence a 3D configuration of points from noncalibrated camera views of such a configuration. This is applied to pattern recognition of a spatial scene, from multiple views, in absence of occlusions.
AMS subject classification: primary 62H11 secondary 62H10 62H35 Keywords: Pinhole camera images High level image analysis 3D reconstruction Projective shape Extrinsic means Asymptotic distributions on manifolds Nonparametric bootstrap Confidence regions a b s t r a c t This article for the first time develops a nonparametric methodology for the analysis of… (More)
In this article, for the first time, one develops a nonparametric methodology for an analysis of shapes of configurations of landmarks on real 3D objects from regular camera photographs, thus making 3D shape analysis very accessible. A fundamental result in computer vision by Faugeras (1992), Hartley, Gupta and Chang (1992) is that generically, a finite 3D… (More)