Add Cartesian Differential Invariants to Minimum Description Length Shape Models
نویسندگان
چکیده
The minimum description length approach can automatic solve the point correspondence problem and give the better statistical shape models than those built by hand or equally spaced way. The current mdl approaches build the models only based on the segmented shapes without considering the local image structure and may place the markers at wrong places. This paper adds Cartesian differential invariants to the Minimum Description Length Shape Models and uses it to get better models.
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