کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532556 869968 2010 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Shape from silhouette using Dempster–Shafer theory
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Shape from silhouette using Dempster–Shafer theory
چکیده انگلیسی

This work proposes a novel shape from silhouette (SfS) algorithm using the Dempster–Shafer (DS) theory for dealing with inconsistent silhouettes. Standard SfS methods makes assumptions about consistency in the silhouettes employed. However, total consistency hardly ever happens in realistic scenarios because of inaccuracies in the background subtraction or occlusions, thus leading to poor reconstruction outside of controlled environments.Our method classify voxels using the DS theory instead of the traditional intersection of all visual cones. Sensors reliability is modelled taking into account the positional relationships between camera pairs and voxels. This information is employed to determine the degree in which a voxel belongs to a foreground object. Finally, evidences collected from all sensors are fused to choose the best hypothesis that determines the voxel state.Experiments performed with synthetic and real data show that our proposal outperforms the traditional SfS method and other techniques specifically designed to deal with inconsistencies. In addition, our method includes a parameter for adjusting the precision of the reconstructions so that it could be adapted to the application requirements.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 6, June 2010, Pages 2119–2131
نویسندگان
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