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» Learning Depth from Stereo
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ICCV
2009
IEEE
15 years 19 days ago
Reconstructing Building Interiors from Images
This paper proposes a fully automated 3D reconstruction and visualization system for architectural scenes (interiors and exteriors). The reconstruction of indoor environments fr...
Yasutaka Furukawa, Brian Curless, Steven M. Seitz,...
ACCV
2010
Springer
13 years 2 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
13 years 11 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little
CVPR
2009
IEEE
15 years 2 months ago
Manhattan-world Stereo
Multi-view stereo (MVS) algorithms now produce reconstructions that rival laser range scanner accuracy. However, stereo algorithms require textured surfaces, and therefore work ...
Brian Curless, Richard Szeliski, Steven M. Seitz, ...
JEI
2007
79views more  JEI 2007»
13 years 7 months ago
Stereo matching via selective multiple windows
Window-based correlation algorithms are widely used for stereo matching due to their computational efficiency as compared to global algorithms. In this paper, a multiple window co...
Satyajit Anil Adhyapak, Nasser D. Kehtarnavaz, Mih...