@inproceedings{332f6e830dfc413db28ed8e500ece1f5,
title = "Reconstruction of 3D object space from imagery by feature-based matching",
abstract = "the visible surface of the 3D object space can be explicitly described by smooth surface patches and their boundaries. The surface patches are approximated by smooth functions and the fitting error characterizes the roughness. The boundaries of smooth surface patches are characterized by rapid changes in elevations or surface normals. For reconstructing surfaces automatically it is desirable to determine the boundaries explicitly, in a direct way. Imagery offers this possibility because boundaries in object space generally appear as edges. The main thrust of the paper in on matching features from images. Every matched edge is intersected in object space. Matching of conjugate edges is performed on back-projection and Iterative Closest Point algorithm. This paper concludes with sample test and considerations",
keywords = "3D object space, Back-projection, Component, Feature matching, Iterative Closest Point",
author = "Yushin Ahn and Taehun Yoon and Toni Schenk",
year = "2005",
doi = "10.1109/IGARSS.2005.1525781",
language = "English",
isbn = "0780390504",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "3967--3970",
booktitle = "25th Anniversary IGARSS 2005",
note = "2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 ; Conference date: 25-07-2005 Through 29-07-2005",
}