22.2.7 Face Analysis -- Attractiveness, Beauty, Subjective Analysis

Chapter Contents (Back)
Attractiveness. Facial Beauty. Beauty. Application, Faces.
See also Personality, Traits, Mood, Deception, Diagnosis Analysis.

O'Toole, A.J., Price, T., Vetter, T., Bartlett, J.C., Blanz, V.,
3D Shape and 2D Surface Textures of Human Faces: The Role of 'Averages' in Attractiveness and Age,
IVC(18), No. 1, December 1999, pp. 9-19.
Elsevier DOI 0001
BibRef

Schmid, K.[Kendra], Marx, D.[David], Samal, A.[Ashok],
Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios,
PR(41), No. 8, August 2008, pp. 2710-2717.
Elsevier DOI 0805
Face attractiveness; Face recognition; Neoclassical canons; Face symmetry; Golden ratio BibRef

Zhang, D.[David], Zhao, Q.J.[Qi-Jun], Chen, F.M.[Fang-Mei],
Quantitative analysis of human facial beauty using geometric features,
PR(44), No. 4, April 2011, pp. 940-950.
Elsevier DOI 1101
Human face shape space; Geometric features; Human facial beauty; Averageness BibRef

Liang, L.Y.[Ling-Yu], Jin, L.W.[Lian-Wen], Li, X.L.[Xue-Long],
Facial Skin Beautification Using Adaptive Region-Aware Masks,
Cyber(44), No. 12, December 2014, pp. 2600-2612.
IEEE DOI 1412
image colour analysis BibRef

Batool, N.[Nazre], Chellappa, R.[Rama],
Fast detection of facial wrinkles based on Gabor features using image morphology and geometric constraints,
PR(48), No. 3, 2015, pp. 642-658.
Elsevier DOI 1412
Facial wrinkles BibRef

Chiang, W.C.[Wen-Chung], Lin, H.H.[Hsiu-Hsia], Huang, C.S.[Chiung-Shing], Lo, L.J.[Lun-Jou], Wan, S.Y.[Shu-Yen],
The cluster assessment of facial attractiveness using fuzzy neural network classifier based on 3D Moiré features,
PR(47), No. 3, 2014, pp. 1249-1260.
Elsevier DOI 1312
Facial attractiveness BibRef

Laurentini, A.[Aldo], Bottino, A.[Andrea],
Computer analysis of face beauty: A survey,
CVIU(125), No. 1, 2014, pp. 184-199.
Elsevier DOI 1406
BibRef
Earlier: A2, A1:
The Intrinsic Dimensionality of Attractiveness: A Study in Face Profiles,
CIARP12(59-66).
Springer DOI 1209
Face image analysis BibRef
Earlier: A2, A1:
The Analysis of Facial Beauty: An Emerging Area of Research in Pattern Analysis,
ICIAR10(I: 425-435).
Springer DOI 1006
BibRef

Lienhard, A.[Arnaud], Ladret, P.[Patricia], Caplier, A.[Alice],
How to predict the global instantaneous feeling induced by a facial picture?,
SP:IC(39, Part C), No. 1, 2015, pp. 473-486.
Elsevier DOI 1601
Aesthetic quality BibRef

Çeliktutan, O.[Oya], Gunes, H.[Hatice],
Automatic Prediction of Impressions in Time and across Varying Context: Personality, Attractiveness and Likeability,
AffCom(8), No. 1, January 2017, pp. 29-42.
IEEE DOI 1703
BibRef
Earlier:
Continuous prediction of perceived traits and social dimensions in space and time,
ICIP14(4196-4200)
IEEE DOI 1502
Computational modeling. Context BibRef

Chen, F., Xiao, X., Zhang, D.,
Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation,
AffCom(9), No. 2, April 2018, pp. 205-216.
IEEE DOI 1806
Active appearance model, Computational modeling, Face, Feature extraction, Geometry, Predictive models, Shape, facial beauty analysis BibRef

Awano, N.[Naoyuki], Morohoshi, K.[Kana],
Objective Evaluation of Impression of Faces with Various Female Hairstyles Using Field of Visual Perception,
IEICE(E101-D), No. 6, June 2018, pp. 1648-1656.
WWW Link. 1806
BibRef

Fan, Y.Y.[Yang-Yu], Liu, S.[Shu], Li, B.[Bo], Guo, Z.[Zhe], Samal, A.[Ashok], Wan, J.[Jun], Li, S.Z.[Stan Z.],
Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning,
MultMed(20), No. 8, August 2018, pp. 2196-2208.
IEEE DOI 1808
face recognition, feature extraction, image representation, learning (artificial intelligence), neural nets, SCUT-FBP BibRef

Xu, M., Chen, F., Li, L., Shen, C., Lv, P., Zhou, B., Ji, R.,
Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction,
AffCom(12), No. 1, January 2021, pp. 227-238.
IEEE DOI 2103
Feature extraction, Visualization, Face, Ontologies, Detectors, Bridges, Machine learning, Facial aesthetic, aesthetic concept, deep learning BibRef

Lin, L.J.[Luo-Jun], Liang, L.Y.[Ling-Yu], Jin, L.W.[Lian-Wen],
Regression Guided by Relative Ranking Using Convolutional Neural Network (R^3CNN) for Facial Beauty Prediction,
AffCom(13), No. 1, January 2022, pp. 122-134.
IEEE DOI 2203
Benchmark testing, Databases, Training, Computer architecture, Fasteners, Deep learning, Task analysis, Facial beauty prediction, Siamese network BibRef

Peng, T.H.[Tian-Hao], Li, M.[Mu], Chen, F.[Fangmei], Xu, Y.[Yong], Zhang, D.[David],
Learning efficient facial landmark model for human attractiveness analysis,
PR(138), 2023, pp. 109370.
Elsevier DOI 2303
Human attractiveness, Landmark model, Geometric feature, Genetic algorithm BibRef

Vargas-Quiros, J.[Jose], Kapcak, Ö.[Öykü], Hung, H.[Hayley], Cabrera-Quiros, L.[Laura],
Individual and Joint Body Movement Assessed by Wearable Sensing as a Predictor of Attraction in Speed Dates,
AffCom(14), No. 3, July 2023, pp. 2168-2181.
IEEE DOI 2310
BibRef

Lo, L.J.[Lun-Jou], Yang, C.T.[Chao-Tung], Chiang, W.C.[Wen-Chung], Lin, H.H.[Hsiu-Hsia],
A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification,
PR(145), 2024, pp. 109970.
Elsevier DOI 2311
Facial attractiveness, Transfer learning, Fine-grained image classification, Facial surface images BibRef


Riccio, P.[Piera], Oliver, N.[Nuria],
Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters,
CVMeta22(714-721).
Springer DOI 2304
BibRef

Weng, N.[Nina], Wang, J.H.[Jia-Hao], Li, A.[Annan], Wang, Y.H.[Yun-Hong],
Two-Stream Temporal Convolutional Network for Dynamic Facial Attractiveness Prediction,
ICPR21(10026-10033)
IEEE DOI 2105
Psychology, Predictive models, Benchmark testing BibRef

Velusamy, S., Parihar, R., Kini, R., Rege, A.,
FabSoften: Face Beautification via Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration,
NTIRE20(2248-2256)
IEEE DOI 2008
Skin, Face, Smoothing methods, Softening, Hair, Facial features, Image restoration BibRef

Liang, X., Tong, S., Kumada, T., Iwaki, S.,
Golden Ratio: The Attributes of Facial Attractiveness Learned By CNN,
ICIP19(2124-2128)
IEEE DOI 1910
Facial Attractiveness, Deconvolutional Neural Network, Golden Ratio BibRef

Xu, L., Fan, H., Xiang, J.,
Hierarchical Multi-Task Network For Race, Gender and Facial Attractiveness Recognition,
ICIP19(3861-3865)
IEEE DOI 1910
Deep learning, multi-task learning, hierarchical multi-task neural network (HMTNet), gender recognition BibRef

Diamant, N., Zadok, D., Baskin, C., Schwartz, E., Bronstein, A.M.,
Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level,
ICIP19(739-743)
IEEE DOI 1910
Beautification, Face synthesis, Generative Adversarial Network, GAN, CGAN BibRef

Vahdati, E.[Elham], Suen, C.Y.[Ching Y.],
Female Facial Beauty Analysis Using Transfer Learning and Stacking Ensemble Model,
ICIAR19(II:255-268).
Springer DOI 1909
BibRef

Dantcheva, A., Bremond, F., Bilinski, P.,
Show me your face and I will tell you your height, weight and body mass index,
ICPR18(3555-3560)
IEEE DOI 1812
Face, Estimation, Weight measurement, Indexes, Correlation, Training, Biometrics (access control) BibRef

Liang, L., Lin, L., Jin, L., Xie, D., Li, M.,
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction,
ICPR18(1598-1603)
IEEE DOI 1812
Benchmark testing, Databases, Computational modeling, Predictive models, Correlation, Standards BibRef

Lin, L., Liang, L., Jin, L.,
R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction,
ICPR18(85-90)
IEEE DOI 1812
Feature extraction, Training, Task analysis, Benchmark testing, Face, Network architecture BibRef

Gao, L., Li, W., Huang, Z., Huang, D., Wang, Y.,
Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning,
ICPR18(3592-3597)
IEEE DOI 1812
Task analysis, Shape, Feature extraction, Training, Convolution, Predictive models, Facial features, landmark detection BibRef

Liang, L., Xie, D., Jin, L., Xu, J., Li, M., Lin, L.,
Region-aware scattering convolution networks for facial beauty prediction,
ICIP17(2861-2865)
IEEE DOI 1803
Convolution, Face, Feature extraction, Predictive models, Scattering, Shape, Visualization, Facial beauty prediction, wavelets BibRef

Workman, S., Souvenir, R., Jacobs, N.,
Understanding and Mapping Natural Beauty,
ICCV17(5590-5599)
IEEE DOI 1802
crowdsourcing, image processing, Great Britain, content-aware image processing, cross-view mapping, Training BibRef

Lei, J., Feng, Z., Song, M., Tao, D.,
Which face is more attractive?,
ICIP16(1639-1643)
IEEE DOI 1610
Convolution BibRef

Gan, J.Y.[Jun-Ying], Zhou, L.[Lei], Zhai, Y.[Yikui],
A study for facial beauty prediction model,
ICWAPR15(8-13)
IEEE DOI 1511
computational geometry BibRef

Kalayci, S.[Sacide], Ekenel, H.K.[Hazim Kemal], Gunes, H.[Hatice],
Automatic analysis of facial attractiveness from video,
ICIP14(4191-4195)
IEEE DOI 1502
Correlation BibRef

Altwaijry, H., Belongie, S.J.,
Relative ranking of facial attractiveness,
WACV13(117-124).
IEEE DOI 1303
BibRef

Gray, D.[Douglas], Yu, K.[Kai], Xu, W.[Wei], Gong, Y.H.[Yi-Hong],
Predicting Facial Beauty without Landmarks,
ECCV10(VI: 434-447).
Springer DOI 1009
BibRef

Whitehill, J.[Jacob], Movellan, J.R.[Javier R.],
Personalized facial attractiveness prediction,
FG08(1-7).
IEEE DOI 0809
BibRef

Davis, B.C., Lazebnik, S.,
Analysis of human attractiveness using manifold kernel regression,
ICIP08(109-112).
IEEE DOI 0810
BibRef

Tanaka, S., Iwadate, Y., Inokuchi, S.,
An Attractiveness Evaluation Model Based on the Physical Features of Image Regions,
ICPR00(Vol II: 793-796).
IEEE DOI 0009
BibRef
Earlier:
A figure extraction method based on the color and texture contrasts of regions,
CIAP99(12-17).
IEEE DOI 9909
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Gender Classification .


Last update:Mar 16, 2024 at 20:36:19