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» Smooth surface reconstruction from noisy range data
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ICCSA
2003
Springer
15 years 2 months ago
Urban Site Modeling from LiDAR
This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne L...
Suya You, Jinhui Hu, Ulrich Neumann, Pamela Fox
CGI
2009
IEEE
15 years 1 months ago
Automatic registration of color images to 3D geometry
We present an approach to automatically register a large set of color images to a 3D geometric model. The problem arises from the modeling of real-world environments, where surfac...
Yunzhen Li, Kok-Lim Low
ICVGIP
2004
14 years 11 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless
SIAMIS
2011
14 years 4 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
ICPR
2002
IEEE
15 years 2 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis