کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969830 1449984 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A dense flow-based framework for real-time object registration under compound motion
ترجمه فارسی عنوان
چارچوب مبتنی بر جریان متراکم برای زمان واقعی ثبت شی در حرکت ترکیبی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
A moving object often has elastic and deformable surfaces (e.g., a human head). Tracking and measuring surface deformation while the object itself is also moving is a challenging, yet important problem in many video analysis tasks. For example, video-based facial expression recognition requires tracking non-rigid motions of facial features without being affected by any rigid motions of the head. In this paper, we present a generic video alignment framework to extract and characterize surface deformations accompanied by rigid-body motions with respect to a fixed reference (a canonical form). We propose a generic model for object alignment in a Bayesian framework, and rigorously show that a special case of the model results in a SIFT flow and optical flow based least-square problem. We demonstrate that dynamic programming can be used to speed up the computation of our algorithm. The proposed algorithm is evaluated on three applications, including the analysis of subtle facial muscle dynamics in spontaneous expressions, face image super-resolution, and generic object registration. Experimental results, in terms of both qualitative and quantitative measures, demonstrate the efficacy of the proposed algorithm, which can be executed in real time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 63, March 2017, Pages 279-290
نویسندگان
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