عنوان فارسی مقاله: |
تخمین شدت های عملکرد چهره در داده دو بعدی و سه بعدی |
عنوان انگلیسی مقاله: | ESTIMATION OF FACIAL ACTION INTENSITIES ON2D AND 3D DATA |
چکیده
1 – مقدمه
2 مقدمات
2-1 امتیاز دهی شدت FACS
2-2 پایگاه داده حالت ( قیافه )
3- استخراج چهره
4- رگرسیون مبتنی بر تخمین شدت
4-1 رگرسیون در حاشیه های SVM
4-2 رگرسیون در ویژگی های تصویر
5- نتایج و بحث های آزمایشی
6- نتیجه گیری و کار آینده
کلمات کلیدی :
Regression-based intensity estimation of facial action unitsdl.acm.org/citation.cfm?id=2380032by A Savran - 2012 - Cited by 81 - Related articlesOct 1, 2012 - Facial Action Coding System (FACS) is the de facto standard in the analysis of facial expressions. FACS describes expressions in terms of the ...Estimation of facial action intensities on 2D and 3D data - Semantic ...https://www.semanticscholar.org/.../Estimation-of-facial-action-intensities.../04fba57c...Our method is novel in that we use regression for estimating intensities and comparatively evaluate the performances of 2D and 3D modalities. The proposed ...Deep Structured Learning for Facial Action Unit Intensity Estimationhttps://arxiv.org › csby R Walecki - 2017 - Cited by 1 - Related articlesApr 14, 2017 - This involves estimation of multiple output variables (facial action units ... from statistically induced co-occurrence patterns of AU intensity levels.[PDF]Context-sensitive Dynamic Ordinal Regression for Intensity Estimation ...https://spiral.imperial.ac.uk/bitstream/10044/1/23471/2/tpamicscorffinal_rudovic.pdfby O Rudovic - Cited by 39 - Related articlesis evaluated on intensity estimation of pain and facial action units using two recently published .... the omnipresent impact of context on AU intensity estimation.Markov Random Field Structures for Facial Action Unit Intensity ...citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.2977&rep=rep1&type...by G Sandbach - Cited by 29 - Related articlesWe present a novel Markov Random Field (MRF) structure-based approach to the problem of facial action unit (AU) intensity estimation. AUs generally appear in.