کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6940148 | 1450007 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A hierarchical stereo matching algorithm based on adaptive support region aggregation method
ترجمه فارسی عنوان
الگوریتم مطابقت استریو سلسله مراتبی بر اساس روش تجمیع حمایت از تطبیقی
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کلمات کلیدی
تطبیق استریو، سلسله مراتبی اصلاح سرشماری مبتنی بر لبه، تابع هزینه، تجمع متقابل،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Stereo matching is a fundamental process in many application fields. An accurate depth information is useful for stereo systems to separate occluding image components. In the conception of stereo matching algorithms, various works rely on the Census Transform (CT) as a cost computation step, due to its robustness against radiometric changes. In this paper, we propose a new variant of the CT cost function which incorporates edge side information for further compensating radiometric changes. We demonstrate that the proposed variant matching cost improves significantly the quality of the disparity results. In addition, an aggregation method, based on the adaptive support region, is implemented into a hierarchical fusion processing scheme, by incorporating low frequency information into high frequency using a robust exponential function. This allows a multi-scale interaction within the adaptive cost aggregation. Hence, significant erroneous disparities are reduced, especially in textureless regions. Experiments were conducted on the KITTI benchmark and the obtained results have shown the potential merits of the proposed framework.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 112, 1 September 2018, Pages 205-211
Journal: Pattern Recognition Letters - Volume 112, 1 September 2018, Pages 205-211
نویسندگان
Oussama Zeglazi, Mohammed Rziza, Aouatif Amine, Cédric Demonceaux,