کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
242116 501805 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Self-adaptive ASIFT-SH method
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A Self-adaptive ASIFT-SH method
چکیده انگلیسی

When monitoring events on a building site using a system of multiple cameras, it is necessary to establish correspondence between the acquired imaging material. The basic problem when attempting this task is the establishment of any correspondence between points located on uniform areas of the images (e.g. regions with uniform colour or texture). The basic version of our ASIFT-SH method can mainly solve such a problem. This method consists of four steps: (i) determining the initial corresponding points within the images of both views by using the ASIFT method, (ii) grouping of initial corresponding points from the first step into subsets, based on segmented regions, (iii) calculation of local homographies for a particular subset of corresponding points, and (iv) determining any correspondence between arbitrary points from a particular camera’s viewpoint, by using a suitable local homography. The critical step of this method concerns segmentation. Therefore, we have introduced into our algorithm a step for adaptive adjustment, the segmented regions being remodelled so that they better meet the required coplanarity criterion. This introduced step is based on a 3D reconstruction of the initial corresponding points and a search for the minimal number of planes within the 3D space to which these points belong. Those points that belong to a particular plane, represent a newly-created subset of the initial corresponding points. The results point out that the introduction of this adaptive step into ASIFT-SH significantly improves the accuracy of corresponding points’ calculation. The mean error is 1.63 times lower and the standard deviation is 2.56 times lower than by the basic version of the ASIFT-SH method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advanced Engineering Informatics - Volume 27, Issue 1, January 2013, Pages 120–130
نویسندگان
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