MLESAC: a new robust estimator with application to estimating image geometry
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Reconstructing Polyhedral Models of Architectural Scenes from Photographs
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
A Model-Based Method For Building Reconstruction
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
Modelling and Interpretation of Architecture from Several Images
International Journal of Computer Vision
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Augmentation and Meshing of Sparse 3D Scene Structure
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Optimizing a Triangular Mesh for Shape Reconstruction from Images
IEICE - Transactions on Information and Systems
A random sampling strategy for piecewise planar scene segmentation
Computer Vision and Image Understanding
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
VideoTrace: rapid interactive scene modelling from video
ACM SIGGRAPH 2007 papers
Robust Multiple Structures Estimation with J-Linkage
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Scene modelling from sparse 3D data
Image and Vision Computing
Editor's Choice Article: Image-consistent patches from unstructured points with J-linkage
Image and Vision Computing
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Planar patches are a very compact and stable intermediate representation of 3D scenes, as they are a good starting point for a complete automatic reconstruction of surfaces. This paper presents a novel method for extracting planar patches from an unstructured cloud of points that is produced by a typical structure and motion pipeline. The method integrates several constraints inside J-linkage, a robust algorithm for multiple models fitting. It makes use of information coming both from the 3D structure and the images. Several results show the effectiveness of the proposed approach.