کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534917 870303 2008 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Neural disparity computation for dense two-frame stereo correspondence
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Neural disparity computation for dense two-frame stereo correspondence
چکیده انگلیسی

This work aims at defining a new method for matching correspondences in stereoscopic image analysis. A representation of occlusions drives the overall matching process. Based on the taxonomy proposed by Scharstein and Szelinsky (2002, IJCV, 47, 7–42), the dense stereo matching process is divided into three tasks: matching cost computation, aggregation of local evidence and computation of disparity values. Within the second and third phases new strategies are introduced in an attempt to improve the reliability of results. Aggregation is based on a new local matching measure, and neural techniques compute disparities adaptively. Two experimental studies were conducted to evaluate and compare the solutions proposed. The first uses a standard well-known dataset including data with true disparity maps; the second study was conducted on complex real images acquired by a scanning electron microscope (SEM).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 29, Issue 5, 1 April 2008, Pages 673–687
نویسندگان
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