Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Computing Geodesics and Minimal Surfaces via Graph Cuts
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Automated Texture Mapping of 3D City Models With Oblique Aerial Imagery
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Multi-View Stereo via Volumetric Graph-Cuts
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
International Journal of Computer Vision
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
Photorealistic Large-Scale Urban City Model Reconstruction
IEEE Transactions on Visualization and Computer Graphics
Image-based street-side city modeling
ACM SIGGRAPH Asia 2009 papers
By-example synthesis of architectural textures
ACM SIGGRAPH 2010 papers
SmartBoxes for interactive urban reconstruction
ACM SIGGRAPH 2010 papers
Non-local scan consolidation for 3D urban scenes
ACM SIGGRAPH 2010 papers
A connection between partial symmetry and inverse procedural modeling
ACM SIGGRAPH 2010 papers
Cone carving for surface reconstruction
ACM SIGGRAPH Asia 2010 papers
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
3D reconstruction using an n-layer heightmap
Proceedings of the 32nd DAGM conference on Pattern recognition
2.5D dual contouring: a robust approach to creating building models from Aerial LiDAR point clouds
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Procedural 3D Building Reconstruction Using Shape Grammars and Detectors
3DIMPVT '11 Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
Adaptive partitioning of urban facades
Proceedings of the 2011 SIGGRAPH Asia Conference
3D surface reconstruction using graph cuts with surface constraints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Shape grammar parsing via Reinforcement Learning
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Building large urban environments from unstructured point data
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Aerial 3D reconstruction with line-constrained dynamic programming
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Fusing oblique imagery with augmented aerial LiDAR
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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The demand for 3D city-scale models has been significantly increased due to the proliferation of urban planning, city navigation, and virtual reality applications. We present an approach to automatically reconstruct buildings densely spanning a large urban area. Our method takes as input calibrated aerial images and available GIS meta-data. Our computational pipeline computes a per-building 2.5D volumetric reconstruction by exploiting photo-consistency where it is highly sampled amongst the aerial images. Our building surface graph cut method overcomes errors of occlusion, geometry, and calibration in order to stitch together aerial images and yield a visually coherent texture-mapped result. Our comparisons show similar quality to the manually modeled buildings of Google Earth, and show improvements over naive texture mapping and over space-carving methods. We have tested our algorithms with a 12sqkm area of Boston, MA (USA), using 4667 images (i.e., 280GB of raw image data) and producing 1785 buildings.