Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Gauge freedoms and uncertainty modeling for three-dimensional computer vision
Gauge freedoms and uncertainty modeling for three-dimensional computer vision
Parisian camera placement for vision metrology
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
An Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Multiple-View Geometry Under the {$L_\infty$}-Norm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Developing visual sensing strategies through next best view planning
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Active Sensor Planning for Multiview Vision Tasks
Active Sensor Planning for Multiview Vision Tasks
Bundle adjustment in the large
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Optimal view path planning for visual SLAM
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Stable structure from motion for unordered image collections
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Discrete-continuous optimization for large-scale structure from motion
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the uncertainties of the reconstruction, while also enhancing robustness and accuracy. Experiments show that the use of expensive global bundle adjustment can be reduced throughout the process, while the additional cost of propagation is essentially linear in the problem size.