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The objectives remain similar to the original ones, yet new additional
problems must be tackled first. The following are some of the more
important challenges:
- Improving the search method.
- Including a component for model discrepancy in the objective function.
- Obtaining plausible registration results while constructing appearance
models that encapsulate the expected variation.
- Learning about the robustness of the method.
- Investigating the quality of the results.
- Re-writing the objective function to calculate a proper MDL term2.
- Extension of the method to 2-D and 3-D.
- Conduct experiments to show the advantages of:
- Registration based on an MDL criterion.
- Automatic construction of appearance models3.
2004-10-28