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• W1503702009 abstract "General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from sparse 3D feature points or 2D projections of points. We present a technique that uses a vector space representation of shape (3D morphable model) to infer missing vertex coordinates. Regularization derived from a statistical approach makes the system stable and robust with respect to noise by computing the optimal tradeoff between fitting quality and plausibility. We present a direct, noniterative algorithm to calculate this optimum efficiently, and a method for simultaneously compensating unknown rigid transformations. The system is applied and evaluated in two different fields: (1) reconstruction of 3D faces at unknown orientations from 2D feature points at interactive rates, and (2) restoration of missing surface regions of teeth for CAD-CAM production of dental inlays and other medical applications." @default.
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• W1503702009 date "2004-09-06" @default.
• W1503702009 modified "2023-10-05" @default.
• W1503702009 title "A statistical method for robust 3D surface reconstruction from sparse data" @default.
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• W1503702009 doi "https://doi.org/10.1109/3dpvt.2004.18" @default.
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