3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …
3D geometric information provides more discriminative features. This comprehensive survey …
Multibiometric fusion strategy and its applications: A review
The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
A survey of local feature methods for 3D face recognition
One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …
significant effect on the whole system performance. In the past decades, various types of …
2d-3d facial image analysis for identification of facial features using machine learning algorithms with hyper-parameter optimization for forensics applications
Recognizing a face is a remarkable process that humans naturally use. Computer vision has
tried to resemble this ability of human vision as a biometric tool to identify humans …
tried to resemble this ability of human vision as a biometric tool to identify humans …
3D face recognition: A survey
Face recognition is one of the most studied research topics in the community. In recent
years, the research on face recognition has shifted to using 3D facial surfaces, as more …
years, the research on face recognition has shifted to using 3D facial surfaces, as more …
Rank level fusion of multimodal biometrics using genetic algorithm
Multimodal biometric systems are highly used over unimodal biometric systems. The
multimodal systems fuse information from multiple biometric traits to overcome the …
multimodal systems fuse information from multiple biometric traits to overcome the …
Weighted extreme sparse classifier and local derivative pattern for 3D face recognition
A novel weighted hybrid classifier and a high-order, local normal derivative pattern
descriptor are proposed for 3D face recognition. The local derivative pattern (LDP) captures …
descriptor are proposed for 3D face recognition. The local derivative pattern (LDP) captures …
A two-phase approach for expression invariant 3D face recognition using fine-tuned VGG-16 and 3D-SIFT descriptors
SD PR - Multimedia Tools and Applications, 2023 - Springer
Expression invariant 3D face recognition systems have many computer vision applications
such as human-computer interaction. Most 3D face recognition systems rely on rigid region …
such as human-computer interaction. Most 3D face recognition systems rely on rigid region …
Learning similarity and dissimilarity in 3D faces with triplet network
AR Bhople, S Prakash - Multimedia Tools and Applications, 2021 - Springer
Face is the most preferred biometric trait used to recognize a person. The 2D face can be
considered as a promising biometric trait; however, it may be affected by changes in the age …
considered as a promising biometric trait; however, it may be affected by changes in the age …
Sparse ICP with resampling and denoising for 3D face verification
Y Yu, F Da, Y Guo - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
Three-dimensional face recognition has shown its potential to obtain higher recognition
accuracy than 2D methods. Among numerous face recognition methods, registration of two …
accuracy than 2D methods. Among numerous face recognition methods, registration of two …