Robust regression methods for computer vision: a review
International Journal of Computer Vision
Quantitative planar region detection
International Journal of Computer Vision
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Motion-egomotion discrimination and motion segmentation from image-pair streams
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Recognition of Planar Point Configurations Using Density of Affine Shape
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Surface Segmentation and Modeling of 3-D Polygonal Objects from Stereoscopic Image Pairs
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Robust Computation and Parametrization of Multiple View Relations
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance
International Journal of Computer Vision
Segmentation of a Piece-Wise Planar Scene from Perspective Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Bayesian 3D Modeling from Images Using Multiple Depth Maps
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Optimizing a Triangular Mesh for Shape Reconstruction from Images
IEICE - Transactions on Information and Systems
Photo-consistent planar patches from unstructured cloud of points
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Surface extraction from iso-disparity contours
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Planar scene modeling from quasiconvex subproblems
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Interactive object modelling based on piecewise planar surface patches
Computer Vision and Image Understanding
Editor's Choice Article: Image-consistent patches from unstructured points with J-linkage
Image and Vision Computing
Fast vision-based scene modeling for augmented reality in unprepared man-made environments
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
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We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically reconstruct a sparse 3D model made of points, and to manually indicate their plane membership, as well as the delineation of the planes: this is the piecewise planar segmentation phase. Texture images are then extracted by merging perspectively corrected input images. We propose an automatic approach to the piecewise planar segmentation phase, that detects the number of planes to approximate the scene surface to some extent, and the parameters of these planes, from a sparse 3D model made of points. Our segmentation method is inspired from the robust estimator ransac. It generates and scores plane hypotheses by random sampling of the 3D points. Our plane scoring function and our plane comparison function, required to prevent detecting the same plane twice, are designed to detect planes with large or small support. The plane scoring function recovers the plane delineation and quantifies the saliency of the plane hypothesis based on approximate photoconsistency. We finally refine all the 3D model parameters, i.e., the planes and the points on these planes, as well as camera pose, by minimizing the reprojection error with respect to the measured image points, using bundle adjustment. The approach is validated on simulated and real data.