Motion and Structure from Orthographic Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding point correspondences and determining motion of rigid object from two weak perspective views
Computer Vision, Graphics, and Image Processing
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Robot Dynamics and Control
A Linear Algorithm for Motion From Three Weak Perspective Images Using Euler Angles
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least Squares Estimation of 3D Shape and Motion of Rigid Objects from Their Orthographic Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal estimation in clutter using SVM-based chaos synchronization
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
| Hi-index | 0.14 |
In this paper, it is shown that by using image rotation, one can develop a linear algorithm to find motion using three weak perspective images. By using the correspondence of four points over a pair of these images, a function can be developed which allows one to perform the necessary rotation. With the correct image rotation, one need only add a third image to have an overdetermined linear system with which to solve for the unknown elements of the rotation matrices relating these three images.