Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
نویسندگان
چکیده
منابع مشابه
Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
Identifying the underlying models in a set of data points contaminated by noise and outliers, leads to a highly complex multi-model fitting problem. This problem can be posed as a clustering problem by the projection of higher order affinities between data points into a graph, which can then be clustered using spectral clustering. Calculating all possible higher order affinities is computationa...
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where l is a positive spatial smoothness penalty, G(fp, fq) is a function measuring the geometric inconsistency between fp and fq . Under the condition that l ≥ G(., .) ≥ 0, function (6) is submodular, and can be minimised by using graph-cut based methods (e.g., PEARL [1]). However, the condition l ≥ G(., .) ≥ 0 clearly limits the effect of the geometric consistency since the penalty G(., .) is...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2018
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2834821