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ICCV
2011
IEEE
12 years 5 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
JACIII
2007
62views more  JACIII 2007»
13 years 5 months ago
Distance Field Model Concept for Space Representation
Yasuyuki Murai, Suguru Asaoka, Hiroyuki Tsuji, His...
SMI
2005
IEEE
13 years 11 months ago
Designing with Distance Fields
Distance fields provide an implicit representation of shape that has advantages in many application areas; in this overview, we focus on their use in digital design. Distance fi...
Sarah F. Frisken, Ronald N. Perry
3DIM
2003
IEEE
13 years 11 months ago
Taking Consensus of Signed Distance Field for Complementing Unobservable Surface
When we use range finders to observe the shape of an object, many occluded areas may occur. These become holes and gaps in the model and make it undesirable to utilize the model ...
Ryusuke Sagawa, Katsushi Ikeuchi
VMV
2003
154views Visualization» more  VMV 2003»
13 years 7 months ago
Piecewise Linear Approximation of Signed Distance Fields
The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
Jianhua Wu, Leif Kobbelt