Abstract
We describe new methods for estimating the geometry of an outdoor scene from either (1) a single calibrated camera or (2) a network of arbitrary, uncalibrated cameras. Our methods do not require camera motion nor overlapping fields of view. We use simple geometric constraints based on appearance changes caused by cloud shadows and combine constraints from multiple days.We describe a linear method for calibrated cameras and a nonlinear method for an uncalibrated imaging system. We define these geometric constraints, describe new algorithms, and demonstrate the features of these algorithms on real and synthetic scenes.
Original language | English |
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DOIs | |
State | Published - 2013 |
Event | 2013 7th International Conference on Distributed Smart Cameras, ICDSC 2013 - Palm Springs, CA, United States Duration: Oct 29 2013 → Nov 1 2013 |
Conference
Conference | 2013 7th International Conference on Distributed Smart Cameras, ICDSC 2013 |
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Country/Territory | United States |
City | Palm Springs, CA |
Period | 10/29/13 → 11/1/13 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering