@inproceedings{42102c6e412747c8b6b6972934364fca,
title = "Determining camera pose using free-form lines",
abstract = "Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form lines as a common feature between image and object spaces has always been a challenge. It is basically due to the unavailability of a mathematical model that relates free-form lines in object space, image space and pose of the camera. This paper introduces an innovative mathematical model to determine the camera pose using free-form lines. Everything recorded by a sensor can be considered a discretization of the physical surface [1]. Hence, it is less likely that the same points can be recorded or identified in both image and object space and it is usually easier to find corresponding lines. The method will lead a way to determine pose of images using historical Geographical Information System(GIS) or object space data.",
keywords = "Area minimization, Exterior orientation, Free-form lines, Photogrammetry, Pose of a camera, Registration",
author = "Sudhagar Nagarajan and Toni Schenk and Beata Csatho",
year = "2010",
doi = "10.1109/wnyipw.2010.5649747",
language = "English",
isbn = "9781424493005",
series = "2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings",
publisher = "IEEE Computer Society",
pages = "50--53",
booktitle = "2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings",
address = "United States",
}