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Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration
2019-06
发表期刊JOURNAL OF VISION (IF:2.0[JCR-2023],2.0[5-Year])
ISSN1534-7362
卷号19期号:6
发表状态已发表
DOI10.1167/19.6.18
摘要Previous studies of age-related macular degeneration (AMD) report impaired facial expression recognition even with enlarged face images. Here, we test potential benefits of caricaturing (exaggerating how the expression's shape differs from neutral) as an image enhancement procedure targeted at mid- to high-level cortical vision. Experiment 1 provides proof-of-concept using normal vision observers shown burred images as a partial simulation of AMD. Caricaturing significantly improved expression recognition (happy, sad, anger, disgust, fear, surprise) by similar to 4%-5% across young adults and older adults (mean age 73 years); two different severities of blur; high, medium, and low intensity of the original expression; and all intermediate accuracy levels (impaired but still above chance). Experiment 2 tested MAD patients, running 19 eyes monocularly (from 12 patients, 67-94 years) covering a wide range of vision loss (acuities 6/7.5 to poorer than 6/360). With faces pre-enlarged, recognition approached ceding and was only slightly worse than matched controls for high- and medium-intensity expressions. For low-intensity expressions, recognition of veridical expressions remained impaired and was significantly improved with caricaturing across all levels of vision loss by 5.8%. Overall, caricaturing benefits emerged when improvement was most needed, that is, when initial recognition of uncaricatured expressions was impaired.
关键词age-related macular degeneration facial expression caricaturing intensity
收录类别SCI ; SCIE ; SSCI
语种英语
资助项目Rebecca Cooper Medical Foundation[PG2018040]
WOS研究方向Ophthalmology
WOS类目Ophthalmology
WOS记录号WOS:000472717100018
出版者ASSOC RESEARCH VISION OPHTHALMOLOGY INC
WOS关键词EMOTION RECOGNITION ; LOW-VISION ; REPRESENTATION ; PERFORMANCE ; PERCEPTION ; ACCURACY ; GENUINE ; RATINGS
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/61115
专题信息科学与技术学院_PI研究组_何旭明组
通讯作者Lane, Jo
作者单位
1.Australian Natl Univ, Res Sch Psychol, Canberra, ACT, Australia
2.Australian Natl Univ, Arc Ctr Excellence Cognit & Its Disorders, Canberra, ACT, Australia
3.Australian Natl Univ, John Curtin Sch Med Res, Canberra, ACT, Australia
4.Australian Natl Univ, Acad Unit Ophthalmol, Med Sch, Canberra, ACT, Australia
5.Univ Canberra, Discipline Optometry & Vis Sci, Bruce, ACT, Australia
6.Collaborat Res Bioactives & Biomarkers CRIBB Grp, Canberra, ACT, Australia
7.Commonwealth Sci & Ind Res Org, Data61, Canberra, ACT, Australia
8.Shanghai Tech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Lane, Jo,Robbins, Rachel A.,Rohan, Emilie M. F.,et al. Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration[J]. JOURNAL OF VISION,2019,19(6).
APA Lane, Jo.,Robbins, Rachel A..,Rohan, Emilie M. F..,Crookes, Kate.,Essex, Rohan W..,...&McKone, Elinor.(2019).Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration.JOURNAL OF VISION,19(6).
MLA Lane, Jo,et al."Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration".JOURNAL OF VISION 19.6(2019).
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