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16 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
1037views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Piecewise Planar City 3D Modeling from Street View Panoramic Sequences
City environments often lack textured areas, contain repetitive structures, strong lighting changes and therefore are very difficult for standard 3D modeling pipelines. We prese...
Branislav Micusík, Jana Kosecka
CVPR
2004
IEEE
15 years 11 months ago
Alignment of Continuous Video onto 3D Point Clouds
We propose a general framework for aligning continuous (oblique) video onto 3D sensor data. We align a point cloud computed from the video onto the point cloud directly obtained f...
Wen-Yi Zhao, David Nistér, Steven C. Hsu
CVPR
2005
IEEE
15 years 11 months ago
Beyond Lambert: Reconstructing Specular Surfaces Using Color
We present a photometric stereo method for non-diffuse materials that does not require an explicit reflectance model or reference object. By computing a data-dependent rotation of...
Satya P. Mallick, Todd Zickler, David J. Kriegman,...
ICCV
2007
IEEE
15 years 11 months ago
Evaluation of Large Scale Scene Reconstruction
We present an evaluation methodology and data for large scale video-based 3D reconstruction. We evaluate the effects of several parameters and draw conclusions that can be useful ...
Paul Merrell, Philippos Mordohai, Jan-Michael Frah...