Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Structure from Many Perspective Images with Occlusions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Linear Multi View Reconstruction with Missing Data
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Wide-baseline multiple-view correspondences
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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This paper presents a method for automatic 3D-reconstruction from a set of images. The main contribution of this paper is a robust integration of the partial correspondences from image pairs provided by an existing correspondence estimator into a reconstruction consistent with all images of the scene. Projective shape and motion is estimated by factorization of a matrix containing the images of all scene points. Outlier detection is based on ransac paradigm and the trifocal tensors. Compared to previous methods, this method can handle perspective views, occlusions, and outliers in image correspondences jointly. The main novelty of this paper is the fusion of a correspondence estimator [9] for wide base-line stereo and the method for outlier detection [7]. It appears that the method is able to detect outliers that cannot be detected using the epipolar geometry alone and therefore it is suitable for integrating with wide base-line stereo from image pairs. The new method is demonstrated by experiments with laboratory and outdoor image sets and some results on metric reconstruction are shown.