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Dense point clouds of naturally existing but damaged real world structures result in 3D models that may be visually unpleasant for applications such as a ‘Virtual Tour’. This paper addresses the reconstruction of such damaged regions (or, ‘holes’) in digital models. Without constraining the complexity or size of the hole, a noniterative framework based on Tensor Voting (TV) is proposed to fill-in...
Estimation of human motion has been improved by recent advances in depth sensors such as the Microsoft Kinect. However, they often have limited range of depths and a large number of such sensors are necessary to estimate motion in large areas. In this paper, we explore the possibility of estimating motion from monocular data using initial and intermittent 3D models provided by the depth sensor. We...
In this paper, we present a new method to generate a 3D face model, based on both Data-Driven and Structure-from-Motion approach. Considering both 2D frontal face image constraint, 3D geometric constraint, and likelihood constraint, we are able to reconstruct subject's face model accurately, robustly, and automatically. Using our method, it is possible to create a 3D face model in 5.8 [sec] by only...
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