Results 11 to 20 of about 5,138,121 (288)

Automatic face recognition using stereo images [PDF]

open access: yes, 2006
Face recognition is an important pattern recognition problem, in the study of both natural and artificial learning problems. Compaxed to other biometrics, it is non-intrusive, non- invasive and requires no paxticipation from the subjects. As a result, it
Samani, Anjali Bharatkumar
core   +6 more sources

Robust signatures for 3D face registration and recognition [PDF]

open access: yes, 2010
PhDBiometric authentication through face recognition has been an active area of research for the last few decades, motivated by its application-driven demand.
Nair, Prathap M
core   +4 more sources

3D Face Recognition: A Survey

open access: yesCoRR, 2021
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 discriminating features can be represented by the 3D geometric information.
Yaping Jing, Xuequan Lu, Shang Gao 0003
openaire   +2 more sources

Face Recognition Using 3D CNNs [PDF]

open access: yes, 2021
The area of face recognition is one of the most widely researched areas in the domain of computer vision and biometric. This is because, the non-intrusive nature of face biometric makes it comparatively more suitable for application in area of surveillance at public places such as airports. The application of primitive methods in face recognition could
Nayaneesh Kumar Mishra   +1 more
openaire   +2 more sources

3D face recognition: a survey [PDF]

open access: yesHuman-centric Computing and Information Sciences, 2018
Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and ...
Song Zhou, Sheng Xiao
openaire   +1 more source

Spoofing Face Recognition With 3D Masks [PDF]

open access: yesIEEE Transactions on Information Forensics and Security, 2014
Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biometric traits, face is exposed to the most serious threat, since it is particularly easy to access ...
Nesli Erdogmus, Sébastien Marcel
openaire   +1 more source

ROBUST REPRESENTATION OF 3D FACES FOR RECOGNITION [PDF]

open access: yesInternational Journal of Pattern Recognition and Artificial Intelligence, 2006
Automatic face recognition is becoming increasingly important due to the security applications derived from it. Although the facial recognition problem has focused on 2D images, recently, due to the proliferation of 3D scanning hardware, 3D face recognition has become a feasible application. This 3D approach does not need any color information.
Ana Belén Moreno   +2 more
openaire   +1 more source

3D face recognition using multiview keypoint matching [PDF]

open access: yes, 2009
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual’s face around the x, y or z ...
Zhang, Edmond Yiwen   +3 more
core   +1 more source

RP-Net: A PointNet++ 3D Face Recognition Algorithm Integrating RoPS Local Descriptor

open access: yesIEEE Access, 2022
As a biometric identification method in the post-epidemic era, face recognition owing more and more attention in practical applications to its non-contact and interaction-friendly advantages.
Yibo Cao   +3 more
doaj   +1 more source

3D face recognition: A comprehensive survey in 2022

open access: yesComputational Visual Media, 2023
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 reviews 3D face recognition techniques developed in the past decade,
Yaping Jing, Xuequan Lu, Shang Gao
doaj   +1 more source

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