A method for 3 D image understanding based on the line sequence match is presented in this paper. It consists of four steps : (1) detecting edges by complate matching operators, then thinning them by a trace algorithm and fitting the straight lines based on the Minimum -Squared Error. (2) computing the similarity of line sequences and that of the intensity from the interval between paired edge lines using fuzzy algorithms, so that the matching of lines is optimized. (3) determing corresponding vertices in two images of an object with the pseudo inverse method and the constrain of matched lines. (4) obtaining the 3 D coordinates for vertices by means of geometrical computations.
G. Xuan, G. Xuan,
Q. Wang, Q. Wang,
"3 D Image Understanding Based On The Line Sequence Match", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942754; https://doi.org/10.1117/12.942754