@conference {14838,
	title = {2D images of 3-D oriented points},
	booktitle = {Computer Vision and Pattern Recognition, 1993. Proceedings CVPR {\textquoteright}93., 1993 IEEE Computer Society Conference on},
	year = {1993},
	month = {1993/06//},
	pages = {226 - 232},
	abstract = {A number of vision problems have been shown to become simpler when one models projection from 3-D to 2-D as a nonrigid linear transformation. These results have been largely restricted to models and scenes that consist only of 3-D points. It is shown that, with this projection model, several vision tasks become fundamentally more complex in the somewhat more complicated domain of oriented points. More space is required for indexing models in a database, more images are required to derive structure from motion, and new views of an object cannot be synthesized linearly from old views},
	keywords = {2D, 3-D, database, derivation;, image, images;, indexing;, linear, model, nonrigid, oriented, points;, processing;, recovery;, structure-form-motion, structure-from-motion, transformation;},
	doi = {10.1109/CVPR.1993.340985},
	author = {Jacobs, David W.}
}
