کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534818 870294 2008 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gradient-based local affine invariant feature extraction for mobile robot localization in indoor environments
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Gradient-based local affine invariant feature extraction for mobile robot localization in indoor environments
چکیده انگلیسی

In this paper, we propose a gradient-based local affine invariant feature extraction algorithm (G-LAIFE), using affine moment invariants for robot localization in real indoor environments. The proposed algorithm is an effective feature extraction algorithm that is invariant to image translation and to 3D rotation, and it is within a partial range of the image scale. Representative performance analysis confirms that the proposed G-LAIFE algorithm significantly enhances the recognition rate and is more efficient than the scale invariant feature transform (SIFT), especially in terms of 3D rotation change and computational time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 29, Issue 14, 15 October 2008, Pages 1934–1940
نویسندگان
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