Artificial Intelligence - Special volume on computer vision
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Multi Viewpoint Stereo from Uncalibrated Video Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Terrain Reconstruction from Multiple Views
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
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This paper describes a method for generating a three-dimensional model from an uncalibrated image sequence taken around an object. Our method is based on feature tracking and minimization of re-projection errors. To cope with mis-matchings in the result of feature tracking, we introduce two types of global geometric constraints. The one is “affine constraint” which imposes the positional relationship between pixels on the images. The other is “depth constraint” which imposes the three-dimensional structure of the object. First, we use the affine constraint to reconstruct the object roughly and then we refine the feature tracking and shape reconstruction using the depth constraint. Experimental results show that our method can automatically generate accurate three-dimensional models from real image sequences.