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ICCV
2007
IEEE
16 years 8 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
ICCV
2007
IEEE
16 years 8 months ago
Detecting Illumination in Images
In this paper we present a surprisingly simple yet powerful method for detecting illumination--determining which pixels are lit by different lights--in images. Our method is based...
Clément Fredembach, Graham D. Finlayson, Ma...
ICCV
2003
IEEE
16 years 8 months ago
Fast Intensity-based 2D-3D Image Registration of Clinical Data Using Light Fields
Registration of a preoperative CT (3D) image to one or more X-ray projection (2D) images, a special case of the pose estimation problem, has been attempted in a variety of ways wi...
Daniel B. Russakoff, Torsten Rohlfing, Calvin R. M...
ICCV
2001
IEEE
16 years 8 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ECCV
2002
Springer
16 years 8 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
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