In active vision system

intelligent analysis of objects-of-interest(OOI) in 3D scene generally needs multi-agent cooperation

which depends heavily on the accuracy of multi-view geometry computation and the robust correspondence of OOI. In most cases

active vision system captures multiple views under wide-baseline stereo model

which results in distinct affine distortions between views and complex description of correspondence problem. Furthermore

the difficulty of depicting correspondence problem in active vision is aggravated when the cameras perform real-time pose adjustment for active OOI tracking with the best viewpoint. For above mentioned issues

this paperproposes amethod to achieve real-time multi-view geometry updating on the basis of constructing geometric feature invariants. Then a robust OOI correspondence algorithm is advanced with the acquired multi-view geometry constraint. The experimental results demonstrate that our method can obtain robust OOI correspondence under wide baseline stereomodel and be suitable for real-time application in active vision system.