کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
526836 869242 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feature correspondence based on directed structural model matching
ترجمه فارسی عنوان
مطابقت ویژگی بر اساس مدل سازمانی مدل سازگار
کلمات کلیدی
مطابقت ویژگی، مدل ساختاری هدایت، تطابق نمودار
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• A directed structural model is proposed for feature correspondence.
• It provides more discriminating ability than commonly used undirected model.
• The feature correspondence is casted as a “directed structural matching” problem.
• The convex–concave relaxation procedure (CCRP) is generalized to solve the problem.

Feature correspondence lays the foundation for many tasks in computer vision and pattern recognition. In this paper the directed structural model is utilized to represent the feature set, and the correspondence problem is then formulated as the structural model matching. Compared with the undirected structural model, the proposed directed model provides more discriminating ability and invariance against rotation and scale transformations. Finally, the recently proposed convex–concave relaxation procedure (CCRP) is generalized to approximately solve the problem. Extensive experiments on synthetic and real data witness the effectiveness of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 33, January 2015, Pages 57–67
نویسندگان
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