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Content Provider | IEEE Xplore Digital Library |
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Author | Ramalingam, S. Antunes, M. Snow, D. Gim Hee Lee Pillai, S. |
Copyright Year | 2015 |
Description | Author affiliation: Interdiscipl. Centre for Security, Reliability & Trust, Univ. of Luxembourg, Luxembourg City, Luxembourg (Antunes, M.) || Mitsubishi Electr. Res. Labs., Cambridge, MA, USA (Ramalingam, S.; Snow, D.; Gim Hee Lee) || Massachussetts Inst. of Technol., Cambridge, MA, USA (Pillai, S.) |
Abstract | We propose a simple and useful idea based on cross-ratio constraint for wide-baseline matching and 3D reconstruction. Most existing methods exploit feature points and planes from images. Lines have always been considered notorious for both matching and reconstruction due to the lack of good line descriptors. We propose a method to generate and match new points using virtual lines constructed using pairs of keypoints, which are obtained using standard feature point detectors. We use cross-ratio constraints to obtain an initial set of new point matches, which are subsequently used to obtain line correspondences. We develop a method that works for both calibrated and uncalibrated camera configurations. We show compelling line-matching and large-scale 3D reconstruction. |
Starting Page | 1238 |
Ending Page | 1246 |
File Size | 1362480 |
Page Count | 9 |
File Format | |
ISSN | 10636919 |
e-ISBN | 9781467369640 |
DOI | 10.1109/CVPR.2015.7298728 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-06-07 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Three-dimensional displays Cameras Image reconstruction Calibration Accuracy Feature extraction Detectors |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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