PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Surface Reconstruction Method Using Global Graph Cut Optimization
International Journal of Computer Vision
Reconstructing Open Surfaces from Image Data
International Journal of Computer Vision
Accurate and Scalable Surface Representation and Reconstruction from Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
High resolution surface reconstruction from overlapping multiple-views
Proceedings of the twenty-fifth annual symposium on Computational geometry
Reconstructing open surfaces from unorganized data points
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
3D dense reconstruction from 2D video sequence via 3D geometric segmentation
Journal of Visual Communication and Image Representation
Mesh optimisation using edge information in feature-based surface reconstruction
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Recent methods for reconstructing surfaces from multiple images
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
Surface reconstruction from images using a variational formulation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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Surface representation is needed for almost all modelingand visualization applications, but unfortunately, 3D datafrom a passive vision system are often insufficient for a traditionalsurface reconstruction technique that is designedfor densely scanned 3D point data. In this paper, we developa new method for surface reconstruction by combiningboth 3D data and 2D image information. The silhouetteinformation extracted from 2D images can also be integratedas an option if it is available. The new methodis a variational approach with a new functional integrating3D stereo data with 2D image information. This givesa more robust approach than existing methods using onlypure 2D information or 3D stereo data. We also propose abounded regularization method to implement efficiently thesurface evolution by level-set methods. The properties ofthe algorithms are discussed, proved for some cases, andempirically demonstrated through intensive experiments onreal sequences.