Parameter optimization of histogram-based local descriptors for facial expression recognition
An important task in automatic facial expression recognition (FER) is to describe facial image features effectively and efficiently. Facial expression descriptors must be robust to variable scales, illumination changes, face view, and noise. This article studies the application of spatially modified...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-06-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1388.pdf |
| _version_ | 1827912370694914048 |
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| author | Antoine Badi Mame Jules-Raymond Tapamo |
| author_facet | Antoine Badi Mame Jules-Raymond Tapamo |
| author_sort | Antoine Badi Mame |
| collection | DOAJ |
| description | An important task in automatic facial expression recognition (FER) is to describe facial image features effectively and efficiently. Facial expression descriptors must be robust to variable scales, illumination changes, face view, and noise. This article studies the application of spatially modified local descriptors to extract robust features for facial expressions recognition. The experiments are carried out in two phases: firstly, we motivate the need for face registration by comparing the extraction of features from registered and non-registered faces, and secondly, four local descriptors (Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP), Compound Local Binary Patterns (CLBP), and Weber’s Local Descriptor (WLD)) are optimized by finding the best parameter values for their extraction. Our study reveals that face registration is an important step that can improve the recognition rate of FER systems. We also highlight that a suitable parameter selection can increase the performance of existing local descriptors as compared with state-of-the-art approaches. |
| first_indexed | 2024-03-13T02:14:53Z |
| format | Article |
| id | doaj.art-53f3c3d0cbea4b208604d4d82b2e151a |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-13T02:14:53Z |
| publishDate | 2023-06-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-53f3c3d0cbea4b208604d4d82b2e151a2023-06-30T15:05:05ZengPeerJ Inc.PeerJ Computer Science2376-59922023-06-019e138810.7717/peerj-cs.1388Parameter optimization of histogram-based local descriptors for facial expression recognitionAntoine Badi MameJules-Raymond TapamoAn important task in automatic facial expression recognition (FER) is to describe facial image features effectively and efficiently. Facial expression descriptors must be robust to variable scales, illumination changes, face view, and noise. This article studies the application of spatially modified local descriptors to extract robust features for facial expressions recognition. The experiments are carried out in two phases: firstly, we motivate the need for face registration by comparing the extraction of features from registered and non-registered faces, and secondly, four local descriptors (Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP), Compound Local Binary Patterns (CLBP), and Weber’s Local Descriptor (WLD)) are optimized by finding the best parameter values for their extraction. Our study reveals that face registration is an important step that can improve the recognition rate of FER systems. We also highlight that a suitable parameter selection can increase the performance of existing local descriptors as compared with state-of-the-art approaches.https://peerj.com/articles/cs-1388.pdfImage registrationFeature extractionFacial expression recognitionClassificationLocal descriptorsParameter optimization |
| spellingShingle | Antoine Badi Mame Jules-Raymond Tapamo Parameter optimization of histogram-based local descriptors for facial expression recognition PeerJ Computer Science Image registration Feature extraction Facial expression recognition Classification Local descriptors Parameter optimization |
| title | Parameter optimization of histogram-based local descriptors for facial expression recognition |
| title_full | Parameter optimization of histogram-based local descriptors for facial expression recognition |
| title_fullStr | Parameter optimization of histogram-based local descriptors for facial expression recognition |
| title_full_unstemmed | Parameter optimization of histogram-based local descriptors for facial expression recognition |
| title_short | Parameter optimization of histogram-based local descriptors for facial expression recognition |
| title_sort | parameter optimization of histogram based local descriptors for facial expression recognition |
| topic | Image registration Feature extraction Facial expression recognition Classification Local descriptors Parameter optimization |
| url | https://peerj.com/articles/cs-1388.pdf |
| work_keys_str_mv | AT antoinebadimame parameteroptimizationofhistogrambasedlocaldescriptorsforfacialexpressionrecognition AT julesraymondtapamo parameteroptimizationofhistogrambasedlocaldescriptorsforfacialexpressionrecognition |