دورية أكاديمية

Model-based Pose Estimation for Texture-less Objects with Differential Evolution Algorithm

التفاصيل البيبلوغرافية
العنوان: Model-based Pose Estimation for Texture-less Objects with Differential Evolution Algorithm
المؤلفون: Tao Linh, Nguyen Tinh, Hasegawa Hiroshi
المصدر: MATEC Web of Conferences, Vol 108, p 15001 (2017)
بيانات النشر: EDP Sciences, 2017.
سنة النشر: 2017
المجموعة: LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: Engineering (General). Civil engineering (General), TA1-2040
الوصف: This paper proposes a novel object-tracking method to estimate three dimensions position of texture-less objects using one camera system and 3D model. The system uses efficient chamfer matching method to calculated distances between 2D edge templates of pose hypotheses with edges from the Canny edge query image. Differential Evolution algorithm uses those distances as inputs to ensure the close optimum results and find the most suitable position of objects. For initialization the exhaustive searching is employed. With the good initialization, a smaller searching space is set to guaranty the online tracking ability. The first results showed the potential of the method in solving object tracking and detection problem.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2261-236X
Relation: https://doaj.org/toc/2261-236X
DOI: 10.1051/matecconf/201710815001
URL الوصول: https://doaj.org/article/b61834f2bb424d29b628fe29629d0102
رقم الأكسشن: edsdoj.b61834f2bb424d29b628fe29629d0102
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2261236X
DOI:10.1051/matecconf/201710815001