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» On Image Reconstruction from Multiscale Top Points
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CVPR
2006
IEEE
16 years 1 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
TIP
2008
119views more  TIP 2008»
14 years 11 months ago
Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid
Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our appro...
Dimitri Van De Ville, Michael Unser
CVPR
2010
IEEE
14 years 11 months ago
Nonparametric Label-to-Region by Search
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
Xiaobai Liu, Shuicheng Yan, Jiebo Luo
ICPR
2008
IEEE
15 years 6 months ago
Topologically correct surface reconstruction using alpha shapes and relations to ball-pivoting
The problem to reconstruct a surface given a finite set of boundary points is of growing interest, e.g. in the context of laser range images. While a lot of heuristic methods hav...
Peer Stelldinger
CVPR
2007
IEEE
16 years 1 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...