Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Invariants of Six Points and Projective Reconstruction From Three Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Match Propogation for Image-Based Modeling and Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Frame Decimation for Structure and Motion
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Gauge freedoms and uncertainty modeling for three-dimensional computer vision
Gauge freedoms and uncertainty modeling for three-dimensional computer vision
An Efficient Solution to the Five-Point Relative Pose Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Real Time Localization and 3D Reconstruction
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
Image-based street-side city modeling
ACM SIGGRAPH Asia 2009 papers
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper proposes a hierarchical framework that resamples 3D reconstructed points to reduce computation cost on time and memory for very large-scale Structure from Motion. The goal is to maintain accuracy and stability similar for different resample rates. We consider this problem in a level-of-detail perspective, from a very large scale global and sparse bundle adjustment to a very detailed and local dense optimization. The dense matching are resampled by exploring the redundancy using local invariant properties, while 3D points are resampled by exploring the redundancy using their covariance and their distribution in both 3D and image space. Detailed experiments on our resample framework are provided.We also demonstrate the proposed framework on large-scale examples. The results show that the proposed resample scheme can produce a 3D reconstruction with the stability similar to quasi dense methods, while the problem size is as neat as sparse methods.