Dynamic Cage-Driven 3D Range-Scan Alignment
Lee M. Seversky,Lijun Yin +1 more
- 01 Jan 2010
- pp 93-96
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About: This article is published in Eurographics. The article was published on 01 Jan 2010. and is currently open access.
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Citations
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Cage-based Performance Capture
Yann Savoye
- 17 Sep 2013
TL;DR: This course addresses the hard problem of extracting or acquiring and then reusing non-rigid parametrization for video-based animations in four steps and shows that cage-based deformers offer a flexible design space abstraction to dynamically non- Rigid surface motion through learning space-time shape variability.
Cage-based performance capture
Yann Savoye
- 12 Aug 2018
TL;DR: This course addresses the hard problem of extracting or acquiring and then reusing non-rigid parametrization for video-based animations in four steps and shows that cage-based deformers offer a flexible design space abstraction to dynamically non-rigid surface motion through learning space-time shape variability.
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Harmonic coordinates for character articulation
Pushkar P. Joshi,Mark Meyer,Tony DeRose,Brian Green,Tom Sanocki +4 more
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TL;DR: It is shown that harmonic coordinates are the first system of generalized barycentric coordinates that are non-negative even in strongly concave situations, and their magnitude falls off with distance as measured within the cage.
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The power crust, unions of balls, and the medial axis transform
TL;DR: In this paper, the authors consider the problem of approximating the medial axis transform of a 3D object with a finite union of balls and define a new piecewise linear approximation to the object surface, which they call the power crust.
Global correspondence optimization for non-rigid registration of depth scans
Hao Li,Robert W. Sumner,Mark Pauly +2 more
- 02 Jul 2008
TL;DR: This work presents a registration algorithm for pairs of deforming and partial range scans that addresses the challenges of non‐rigid registration within a single non‐linear optimization and requires no explicit prior correspondences or feature points.
A robust algorithm for point set registration using mixture of Gaussians
Bing Jian,Baba C. Vemuri +1 more
- 17 Oct 2005
TL;DR: A novel and robust approach to the point set registration problem in the presence of large amounts of noise and outliers is proposed, which derives a closed-form expression for the L/sub 2/distance between two Gaussian mixtures, which leads to a computationally efficient registration algorithm.
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