We show how to recover the position and orientation of a pair of known coplanar conies from a single perspective image. We describe and compare a number of methods for determining this relationship. One uses a simple four point back projection model, and the other utilizes transformation invariants. These results can be extended in a number of ways. Firstly, they can be applied to arbitrary plane curves using an invariant fitting technique. Secondly, the recovery methods are applicable to higher order algebraic curves. We show examples of pose determination for both synthetic data and real images of conic and non-conic objects. For example, we recognize and determine pose for a gasket containing non-conic curves. We assess the methods for stability and for accuracy against an accepted standard-Tsai's calibration method1. We conclude that using such methods enables accurate pose determination for arbitrary plane curves.
- plane curves
ASJC Scopus subject areas
- Signal Processing
- Computer Vision and Pattern Recognition