کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
527084 869284 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A loop-consistency measure for dense correspondences in multi-view video
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A loop-consistency measure for dense correspondences in multi-view video
چکیده انگلیسی

Many applications in computer vision and computer graphics require dense correspondences between images of multi-view video streams. Most state-of-the-art algorithms estimate correspondences by considering pairs of images. However, in multi-view videos, several images capture nearly the same scene. In this article we show that this redundancy can be exploited to estimate more robust and consistent correspondence fields. We use the multi-video data structure to establish a confidence measure based on the consistency of the correspondences in a loop of three images. This confidence measure can be applied after flow estimation is terminated to find the pixels for which the estimate is reliable. However, including the measure directly into the estimation process yields dense and highly accurate correspondence fields. Additionally, application of the loop consistency confidence measure allows us to include sparse feature matches directly into the dense optical flow estimation. With the confidence measure, spurious matches can be successfully suppressed during optical flow estimation while correct matches contribute to increase the accuracy of the flow.

Figure optionsDownload high-quality image (51 K)Download as PowerPoint slideHighlights
► Confidence measure for dense correspondences in multi-video sequences.
► Inclusion of the confidence measure into dense correspondence estimation.
► Increased optical flow accuracy also between images from different cameras.
► Possibility to robustly include feature matching into dense correspondence estimation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 30, Issue 9, September 2012, Pages 641–654
نویسندگان
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