Y-Q Cheng, E.M. Riseman, X.G. Wang, R.T. Collins, A.R. Hanson  Home/Search
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Abstract: Three-dimensional reconstruction from a set of images is an important and difficult problem in computer vision. In this paper, we address the problem of determining image feature correspondences while simultaneously reconstructing the corresponding 3D features, given the camera poses of disparate monocular views. First, two new affinity measures are presented that capture the degree to which candidate features from different images consistently represent the projection of the same 3D point or... (Update)
Context of citations to this paper: More
...to account for the lack of visible structure in typical indoor environments. Related work on outdoor terrain modeling can be found in [12]. 10 Discussion In this paper, we proposed an online algorithm for mapping large environments with mobile robots. At its core is the...
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BibTeX entry: (Update)
Y.-Q. Cheng, E. Riseman, X. Wang, R. Collins, and A. Hanson. Three-dimensional reconstruction of points and lines with unknown correspondence across images. International Journal of Computer Vision, 2000. http://citeseer.ist.psu.edu/article/cheng00threedimensional.html More
@misc{ cheng00threedimensional,
author = "Y. Cheng and E. Riseman and X. Wang and R. Collins and A. Hanson",
title = "Three-dimensional reconstruction of points and lines with unknown correspondence
across images",
text = "Y.-Q. Cheng, E. Riseman, X. Wang, R. Collins, and A. Hanson. Three-dimensional
reconstruction of points and lines with unknown correspondence across images.
International Journal of Computer Vision, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/article/cheng00threedimensional.html" }
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