Abstract :
The perspective view of three noncollinear points whose image-to-object correspondence is known is studied. Such measurements are known to be ambiguous, resulting in as many as four possible solutions to the perspective three-point problem. Although there can be four solutions, it is quite often the case that there are triangle configurations that cause one, two, three, or four solutions. The results also provide a justification for the common wisdom that there are usually two solutions
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; image-to-object correspondence; perspective projection; perspective three-point problem; three noncollinear points; triangle configurations; Character generation; Equations; Least squares approximation; Least squares methods; Linear algebra; Matrix decomposition; Motion estimation; Random variables; Solids; Testing;
