کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
527313 869313 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Removing outliers by minimizing the sum of infeasibilities
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Removing outliers by minimizing the sum of infeasibilities
چکیده انگلیسی

This paper shows that we can classify latent outliers efficiently through the process of minimizing the sum of infeasibilities (SOI). The SOI minimization has been developed in the area of convex optimization to find an initial solution, solve a feasibility problem, or check out some inconsistent constraints. It was also adopted recently as an approximation method to minimize a robust error function under the framework of the L∞L∞ norm minimization for geometric vision problems. In this paper, we show that the SOI minimization is practically effective in collecting outliers when it is applied to geometric vision problems. In particular, this method is useful in structure and motion reconstruction where methods such as RANSAC are not applicable. We demonstrate the effectiveness of the method through experiments with synthetic and real data sets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 28, Issue 6, June 2010, Pages 881–889
نویسندگان
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