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Enhancing 3D Face Recognition: Achieving Significant Gains via 2D-Aided Generative Augmentation. [PDF]
Sensors (Basel)Yu C, Zhang Z, Li H, Liu C.
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Privacy-preserving method for face recognition based on homomorphic encryption. [PDF]
PLoS OneSong Z +7 more
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Current Opinion in Neurobiology, 1992
The study of face-selective neurons in the monkey temporal lobe, and face recognition deficits in humans after brain damage have both become very active fields of investigation. Face-selective neurons appear to be members of ensembles for coding faces rather than individual face detectors or grandmother cells.
C G, Gross, J, Sergent
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The study of face-selective neurons in the monkey temporal lobe, and face recognition deficits in humans after brain damage have both become very active fields of investigation. Face-selective neurons appear to be members of ensembles for coding faces rather than individual face detectors or grandmother cells.
C G, Gross, J, Sergent
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2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
A transform domain face recognition approach is presented. The DCT is coupled with the HMM to achieve a recognition rate of 100% on ORL face database of 40 subjects with 10 images per subject. The recognition time for ORL database is little over 2 Sec. 5 images of a subject are used to train HMM and remaining 5 are used for recognition test.
KOHIR, VV, DESAI, UB
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A transform domain face recognition approach is presented. The DCT is coupled with the HMM to achieve a recognition rate of 100% on ORL face database of 40 subjects with 10 images per subject. The recognition time for ORL database is little over 2 Sec. 5 images of a subject are used to train HMM and remaining 5 are used for recognition test.
KOHIR, VV, DESAI, UB
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Synthesizing for face recognition
2011 18th IEEE International Conference on Image Processing, 2011Pose variance is one of the most challenging problem to 2D face recognition. In this paper, a novel frontal view face synthesizing strategy is introduced to improve the performance of traditional face recognition methods on non-frontal view input images.
Yuelong Li, Jufu Feng
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Face recognition with occlusion
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015Facial occlusion, such as sunglasses, scarf, mask etc., is one critical factor that affects the performance of face recognition. Unfortunately, faces with occlusion are quite common in the real world, especially in uncooperative scenario. In recent years, regression analysis becomes a hotspot of dealing with face recognition under different ...
Yingcheng Su +3 more
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2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020
When facing the challenge of multi-face recognition, the existing face recognition algorithms have the defects of low accuracy and too slow speed. This paper proposes a multi-face recognition algorithm based on the InsightFace algorithm, which is applied in the scene of large human flow throughput.
Qi Guo, Zhihui Wang 0010, Daoerji Fan
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When facing the challenge of multi-face recognition, the existing face recognition algorithms have the defects of low accuracy and too slow speed. This paper proposes a multi-face recognition algorithm based on the InsightFace algorithm, which is applied in the scene of large human flow throughput.
Qi Guo, Zhihui Wang 0010, Daoerji Fan
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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
3D human face models have been widely used in applications such as facial animation, video compression/coding, augmented reality, head tracking, facial expression recognition, human action recognition, and face recognition. Modeling human faces provides a potential solution to identifying faces with variations in illumination, pose, and facial ...
Rein-Lien Hsu, Anil K. Jain 0001
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3D human face models have been widely used in applications such as facial animation, video compression/coding, augmented reality, head tracking, facial expression recognition, human action recognition, and face recognition. Modeling human faces provides a potential solution to identifying faces with variations in illumination, pose, and facial ...
Rein-Lien Hsu, Anil K. Jain 0001
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Face Recognition in the Elderly
Optometry and Vision Science, 2005ABSTRACT: Purpose. The purpose of this study was to assess face recognition ability in a large sample of elders (n = 572, mean age = 78.1 years) and to identify factors that affect performance. Methods.
Lori A, Lott +3 more
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Pattern Recognition, 2000
Abstract We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primarily on a Bayesian (MAP) analysis of image differences. The performance advantage of this probabilistic matching technique over standard Euclidean nearest-neighbor ...
Baback Moghaddam +2 more
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Abstract We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primarily on a Bayesian (MAP) analysis of image differences. The performance advantage of this probabilistic matching technique over standard Euclidean nearest-neighbor ...
Baback Moghaddam +2 more
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