%0 Conference Paper %B Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on %D 1993 %T 2D images of 3-D oriented points %A Jacobs, David W. %K 2D %K 3-D %K database %K derivation; %K image %K images; %K indexing; %K linear %K model %K nonrigid %K oriented %K points; %K processing; %K recovery; %K structure-form-motion %K structure-from-motion %K transformation; %X 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 %B Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on %P 226 - 232 %8 1993/06// %G eng %R 10.1109/CVPR.1993.340985