Communications of the ACM - How the virtual inspires the real
In defence of the 8-point algorithm
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
An Efficient Solution to the Five-Point Relative Pose Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive 3D architectural modeling from unordered photo collections
ACM SIGGRAPH Asia 2008 papers
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Façade Segmentation in a Multi-view Scenario
3DIMPVT '11 Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
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3D reconstruction and texturing of buildings have a large number of applications and have therefore been the focus of much attention in recent years. One aspect that is still lacking, however, is a way to reconstruct recessed features such as windows and doors. These may have little value when seen from a frontal viewpoint. But when the reconstructed model is rotated and zoomed the lack of details will leap out. In this work we therefore aim at reconstructing a 3D model with refined details. To this end we apply a structure from motion approach based on bottom up bundle adjustment to first estimate a 3D point cloud of a building. Next, a rectified texture of the facade is extracted and analyzed in order to detect recessed features and their depths, and enhance the 3D model accordingly. For evaluation we apply the method to a number of different buildings.