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Search

Once a model has been built or loaded, an instance of the model can be located in the selected Tv image using the search function, which executes a downhill simplex optimisation to search for the model in the image which minimises the selected Cost function. Executing this routine again continues the search from the last solution.

Generally when automating the final system there is no harm in executing the search process twice to try to ensure convergence. Searching for objects through temporal sequences of images generally benefits from starting each search from the previous solution. Coarse to fine searches for both snakes and deformable templates and any permutation can be supported using the macro facility and combinations of trained models. Multiple objects or disjoint or hinged structures should be located using separate trained models for each section.



Subsections
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root 2017-11-24