Imposing Euclidean Constraints During Self-Calibration Processes
نویسندگان
چکیده
Using Euclidean constraints to model large 3D environment is made possible. This has been a challenging issue for many years. Using such knowledge, not only enlarges the number of feasible cases but it also provides perfect results, unreachable formerly. We deal with a limited set of constraints composed of incidence relations, parallelism, and orthogonality. Those knowledges are given manually, are processed throught a geometric reasonning system, and are used during what we call a constraint bundle adjustment. Results are very encouraging even if the computational time may be prohibitive.
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