Pose|Robust Face Signature for Multi|View Face Recognition

Pose-robust face signature for multi-view face recognition

Despite the great progress achieved in unconstrained face recognition, pose variations still remain a challenging and unsolved practical issue.

Pose-Robust Face Signature for Multi-View Face Recognition

Pose-Robust Face Signature for Multi-View Face Recognition. Pengfei Dou, Lingfeng Zhang, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris. Computational ...

(PDF) Pose-Robust Face Signature for Multi-View Face Recognition

Abstract and Figures. Despite the great progress achieved in unconstrained face recognition, pose variations still remain a challenging and unsolved practical ...

[PDF] Pose-robust face signature for multi-view face recognition

An efficient method for monocular 3D face reconstruction is proposed, which is used to lift the 2D facial appearance to a canonical texture space and ...

Pose-robust face signature for multi-view face recognition

Specifically, we propose an efficient method for monocular 3D face reconstruction, which is used to lift the 2D facial appearance to a canonical ...

Pose-robust face signature for multi-view face recognition ...

Fingerprint. Dive into the research topics of 'Pose-robust face signature for multi-view face recognition'. Together they form a unique fingerprint.

Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face ...

... pose-robust facial signatures for pose invariant face recognition. Discriminative feature learning and part-based face representation are combined to ...

Pose-robust face signature for multi-view face recognition. - dblp

Pengfei Dou, Lingfeng Zhang, Yuhang Wu, Shishir K. Shah , Ioannis A. Kakadiaris : Pose-robust face signature for multi-view face recognition. BTAS 2015: 1-8.

Extracting pose-robust face signature from 2D image... - ResearchGate

This paper, we propose a novel framework for multi-view face recognition by extracting and matching pose-robust face signatures (PRFS) from facial images.

Robust Face Recognition from Multi-View Videos

We demonstrate that the proposed approach outperforms traditional algorithms on a multi-view video database. Index Terms—Face recognition, Pose variations, ...

Robust Face Recognition From Multi-View Videos

In this paper, we present an approach for video-based face recognition in camera networks. Our goal is to handle pose variations by exploiting the redundancy in ...

FaSIVA: Facial signature for identification, verification and ...

Enhancing the overall face recognition process in terms of recognition accuracy. •. Prevention of spoofing attacks can be possible using the detection of eye ...

Rotated Profile Signatures for robust 3D feature detection

While recent years have seen progress in face recognition from 3D images, nonfrontal head pose is still a challenge to existing techniques.

Robust Face Recognition via Multimodal Deep Face Representation

[6] proposed to extract the Multi-directional Multi-level DCPs (MDML-. DCPs) feature which includes three holistic-level features and six ...

Multi-pose 3D facial texture refinement for face recognition ...

Then, we warp original facial images to the 2D meshes projected from 3D using Sparse Mesh Affine Warp (SMAW). Finally, we weight the face patches in each view ...

Robust Face Recognition Technique for a Real-Time Embedded ...

In this chapter, we propose a pose variability compensation technique, which synthesizes realistic frontal face images from nonfrontal views. It is based on ...

Combining face recognition with human pose estimation

Output of such network is, for instance, 19 points per detected person. 2) network for face detection to predict where on image are faces. I ...

A Survey on Automatic Face Recognition Using Side‐View Face ...

Over the years, several datasets have become standard for extreme pose studies, including CMU Multi-PIE [3], celebrities in frontal-profile (CFP) ...

Sparse multi-stage regularized feature learning for robust face ...

The major limitation in current facial recognition systems is that they do not perform very well in uncontrolled environments, that is, when faces present ...

3D face recognition: A comprehensive survey in 2022 - SciOpen

Li, Q.; Dong, X. X.; Wang, W. N.; Shan, C. F. CAS-AIR-3D face: A low-quality, multi-modal and multi-pose 3D face database. In: Proceedings of ...