A Segment-Based Matching Algorithm in Trinocular Vision

been proposed t o improve matching accuracy which c o n s i s t s o f c a n d i d a t e s Pu and P1 which a r e corresponding connected edges and a r e derived by Nevatia-between t h e f i r s t and second images of three. Babu method. This algorithm i s based on t h e A f t e r t h a t , t h e t h i r d image is examined t o p o s i t i o n and o r i e n t a t i o n c o n s t r a i n t s f o r check correctness. That is, t h e r e should be segments, caused by t h e e p i p o l a r c o n s t r a i n t. a c t u a l edges i n t h e t h i r d image a t t h e This a l g o r i t h m a l s o i n v o l v e s t h e process t o p o s i t i o n Pr, which could be computed by t h e match occluded segments, which a r e not e p i p o l a r c o n s t r a i n t f o r t h e s e candidates. v i s i b l e i n one image o f three. I n s t e r e o Therefore, it seems very powerful t o improve v i s i o n camera c a l i b r a t i o n i s another accuracy and t o choose one p o s s i b l e match important f a c t o r and we d e s c r i b e o u r among corresponding candidates. However, i f c a l i b r a t i o n method f o r experiment. A f t e r t h e r e a r e s t i l l remaining s e v e r a l candidates, t …