کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530828 869790 2008 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
چکیده انگلیسی

In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal form of the visual part detector is a combination of a radial symmetry detector and a corner-like structure detector. A general context descriptor, named G-RIF (generalized-robust invariant feature), is then proposed, which encodes edge orientation, edge density and hue information in a unified form. Finally, a context-based voting scheme is proposed. This proposed method is inspired by the function of the human visual system, called figure-ground discrimination. We use the proximity and similarity between features to support each other. The contextual feature descriptor and contextual voting method, which use contextual information, enhance the recognition performance enormously in severely cluttered environments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 41, Issue 2, February 2008, Pages 726–741
نویسندگان
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