Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
ACM SIGGRAPH 2003 Papers
The Cascaded Hough Transform as an Aid in Aerial Image Interpretation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Discovering structural regularity in 3D geometry
ACM SIGGRAPH 2008 papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive 3D architectural modeling from unordered photo collections
ACM SIGGRAPH Asia 2008 papers
ACM SIGGRAPH Asia 2008 papers
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
PatchMatch: a randomized correspondence algorithm for structural image editing
ACM SIGGRAPH 2009 papers
Symmetric architecture modeling with a single image
ACM SIGGRAPH Asia 2009 papers
SmartBoxes for interactive urban reconstruction
ACM SIGGRAPH 2010 papers
Non-local scan consolidation for 3D urban scenes
ACM SIGGRAPH 2010 papers
Image-Based Modeling
Resizing by symmetry-summarization
ACM SIGGRAPH Asia 2010 papers
Detecting large repetitive structures with salient boundaries
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Handling urban location recognition as a 2D homothetic problem
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Sorting unorganized photo sets for urban reconstruction
Graphical Models
Robustness in motion averaging
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Stereo matching algorithm using a weighted average of costs aggregated by various window sizes
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Interactive images: cuboid proxies for smart image manipulation
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Structure from motion for scenes with large duplicate structures
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Repetition-based dense single-view reconstruction
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Factored Facade Acquisition using Symmetric Line Arrangements
Computer Graphics Forum
Discovering and exploiting 3D symmetries in structure from motion
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2D-3D fusion for layer decomposition of urban facades
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Multi-view repetitive structure detection
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
A multi-stage linear approach to structure from motion
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
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Repeated structures are ubiquitous in urban facades. Such repetitions lead to ambiguity in establishing correspondences across sets of unordered images. A decoupled structure-from-motion reconstruction followed by symmetry detection often produces errors: outputs are either noisy and incomplete, or even worse, appear to be valid but actually have a wrong number of repeated elements. We present an optimization framework for extracting repeated elements in images of urban facades, while simultaneously calibrating the input images and recovering the 3D scene geometry using a graph-based global analysis. We evaluate the robustness of the proposed scheme on a range of challenging examples containing widespread repetitions and nondistinctive features. These image sets are common but cannot be handled well with state-of-the-art methods. We show that the recovered symmetry information along with the 3D geometry enables a range of novel image editing operations that maintain consistency across the images.