Caricature Face Photo Facial Attribute Similarity Generator
Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricatur...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/6709707 |
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| _version_ | 1849693696873725952 |
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| author | Muhammad Irfan Khan Muhammad Kashif Hanif Ramzan Talib |
| author_facet | Muhammad Irfan Khan Muhammad Kashif Hanif Ramzan Talib |
| author_sort | Muhammad Irfan Khan |
| collection | DOAJ |
| description | Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a mugshot. The proposed approach uses Haar-like features for the detection of the face and other facial attributes. A point distribution measure is used to locate the exaggerated features. Furthermore, the ratio between different facial features was computed using different vertical and horizontal distances. These ratios were used to calculate the difference vector which is used as input to different machine and deep learning models. In order to attain better performance, stratified k-fold cross-validation with hyperparameter tuning is used. Convolution neural network-based implementation outperformed the machine learning-based models. |
| format | Article |
| id | doaj-art-4f4c8c6484db4a6da476f14b51170f24 |
| institution | DOAJ |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4f4c8c6484db4a6da476f14b51170f242025-08-20T03:20:19ZengWileyComplexity1099-05262022-01-01202210.1155/2022/6709707Caricature Face Photo Facial Attribute Similarity GeneratorMuhammad Irfan Khan0Muhammad Kashif Hanif1Ramzan Talib2Department of Computer ScienceDepartment of Computer ScienceDepartment of Computer ScienceCaricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a mugshot. The proposed approach uses Haar-like features for the detection of the face and other facial attributes. A point distribution measure is used to locate the exaggerated features. Furthermore, the ratio between different facial features was computed using different vertical and horizontal distances. These ratios were used to calculate the difference vector which is used as input to different machine and deep learning models. In order to attain better performance, stratified k-fold cross-validation with hyperparameter tuning is used. Convolution neural network-based implementation outperformed the machine learning-based models.http://dx.doi.org/10.1155/2022/6709707 |
| spellingShingle | Muhammad Irfan Khan Muhammad Kashif Hanif Ramzan Talib Caricature Face Photo Facial Attribute Similarity Generator Complexity |
| title | Caricature Face Photo Facial Attribute Similarity Generator |
| title_full | Caricature Face Photo Facial Attribute Similarity Generator |
| title_fullStr | Caricature Face Photo Facial Attribute Similarity Generator |
| title_full_unstemmed | Caricature Face Photo Facial Attribute Similarity Generator |
| title_short | Caricature Face Photo Facial Attribute Similarity Generator |
| title_sort | caricature face photo facial attribute similarity generator |
| url | http://dx.doi.org/10.1155/2022/6709707 |
| work_keys_str_mv | AT muhammadirfankhan caricaturefacephotofacialattributesimilaritygenerator AT muhammadkashifhanif caricaturefacephotofacialattributesimilaritygenerator AT ramzantalib caricaturefacephotofacialattributesimilaritygenerator |