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» Learning to Estimate Scenes from Images
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CVPR
2011
IEEE
13 years 5 months ago
High-quality shape from multi-view stereo and shading under general illumination
Multi-view stereo methods reconstruct 3D geometry from images well for sufficiently textured scenes, but often fail to recover high-frequency surface detail, particularly for smo...
Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita,...
AIPR
2006
IEEE
14 years 3 months ago
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners ...
Christoph Witzgall, Geraldine S. Cheok, Anthony J....
ICPR
2000
IEEE
14 years 20 days ago
Recognition of Indoor Images Employing Qualitative Model Fitting and Supporting Relation between Objects
In this paper, we describe a new design of a recognition system for a single image of indoor scene including complex occlusions. In our system, rst, the system estimates 3D struc...
Keiji Yanai, Koichiro Deguchi
RAS
2010
216views more  RAS 2010»
13 years 7 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
CVPR
2009
IEEE
15 years 4 months ago
Illumination and Spatially Varying Specular Reflectance from a Single View
Estimating the illumination and the reflectance properties of an object surface from a sparse set of images is an important but inherently ill-posed problem. The problem becomes...
Kenji Hara (Kyushu University), Ko Nishino (Drexel...