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Stereo vision-based variational optical flow estimation

التفاصيل البيبلوغرافية
العنوان: Stereo vision-based variational optical flow estimation
المؤلفون: Belyakov P. V., Nikiforov M. B., Muratov E. R., Melnik O. V.
المصدر: E3S Web of Conferences, Vol 224, p 01027 (2020)
بيانات النشر: EDP Sciences
سنة النشر: 2020
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Environmental sciences, GE1-350
الوصف: Optical flow computation is one of the most important tasks in computer vision. The article deals with a modification of the variational method of the optical flow computation, according to its application in stereo vision. Such approaches are traditionally based on a brightness constancy assumption and a gradient constancy assumption during pixels motion. Smoothness assumption also restricts motion discontinuities, i.e. the smoothness of the vector field of pixel velocity is assumed. It is proposed to extend the functional of the optical flow computation in a similar way by adding a priori known stereo cameras extrinsic parameters and minimize such jointed model of optical flow computation. The article presents a partial differential equations framework in image processing and numerical scheme for its implementation. Performed experimental evaluation demonstrates that the proposed method gives smaller errors than traditional methods of optical flow computation.
نوع الوثيقة: article in journal/newspaper
اللغة: English
French
تدمد: 2267-1242
العلاقة: https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/84/e3sconf_TPACEE2020_01027.pdfTest; https://doaj.org/toc/2267-1242Test; https://doaj.org/article/f2a84870c11442f48826266b076f9ca9Test
DOI: 10.1051/e3sconf/202022401027
الإتاحة: https://doi.org/10.1051/e3sconf/202022401027Test
https://doaj.org/article/f2a84870c11442f48826266b076f9ca9Test
رقم الانضمام: edsbas.758401FB
قاعدة البيانات: BASE
الوصف
تدمد:22671242
DOI:10.1051/e3sconf/202022401027