A Framework for Understanding Renormalisation-Type Methods in Computer Vision
نویسندگان
چکیده
The renormalisation scheme of Kanatani is intended to iteratively minimise a cost function of certain form while avoiding systematic bias inherent in Sampson’s method of minimisation. This paper is concerned with enhancing our understanding of Kanatani’s complex scheme by expressing it within a novel framework common to several methods. This approach enables us to demonstrate that the renormalisation scheme does not have as its theoretical limit the desired minimiser, in contrast with an alternative, simpler approach presented.
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تاریخ انتشار 2013