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SIGGRAPH
1993
ACM
15 years 8 months ago
Mesh optimization
We present a method for solving the following problem: Given a set of data points scattered in three dimensions and an initial triangular mesh M0, produce a mesh M, of the same to...
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan ...
128
Voted
WSCG
2004
148views more  WSCG 2004»
15 years 5 months ago
Ultrasonic Refractive Index Tomography
Ultrasonic computed tomography (UCT) is one of the methods capable of tissue characterization. It is expected to provide not only a quantitative image but also diagnostic informat...
Chuchart Pintavirooj, Adisak Romputtal, Akkapob Ng...
NIPS
2003
15 years 5 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
VMV
2000
169views Visualization» more  VMV 2000»
15 years 5 months ago
A Non-Linear Subdivision Scheme for Triangle Meshes
Subdivision schemes are commonly used to obtain dense or smooth data representations from sparse discrete data. E. g., B-splines are smooth curves or surfaces that can be construc...
Stefan Karbacher, Stephan Seeger, Gerd Häusle...
NIPS
1992
15 years 5 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard