Al-enabled biometrics in recruiting: Insights from marketers for managers

P van Esch, J Stewart Black… - Australasian …, 2021 - journals.sagepub.com
Both researchers and practitioners are only in the early stages of examining and
understanding the application of artificial intelligence (AI) in terms of marketing themselves …

The reliability of forensic body-shape identification

N Thakkar, G Pavlakos, H Farid - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Photo-based forensic identification can be critical in the prosecution of, and defense against,
criminal charges. Identification techniques range from the specific biometric-based to the …

Integration of multiple soft biometrics for human identification

OA Arigbabu, SMS Ahmad, WAW Adnan… - Pattern Recognition …, 2015 - Elsevier
We propose a computational approach to human identification based on the integration of
face and body related soft biometric traits. In previous studies on soft biometrics, several …

On the feasibility of 3D model-based forensic height and weight estimation

N Thakkar, H Farid - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
Forensic DNA analysis has been critical in prosecuting crimes and overturning wrongful
convictions. At the same time, other physical and digital forensic identification techniques …

Body weight estimation for dose-finding and health monitoring of lying, standing and walking patients based on RGB-D data

C Pfitzner, S May, A Nüchter - Sensors, 2018 - mdpi.com
This paper describes the estimation of the body weight of a person in front of an RGB-D
camera. A survey of different methods for body weight estimation based on depth sensors is …

Soft biometrics: Gender recognition from unconstrained face images using local feature descriptor

OA Arigbabu, SMS Ahmad, WAW Adnan… - arXiv preprint arXiv …, 2017 - arxiv.org
Gender recognition from unconstrained face images is a challenging task due to the high
degree of misalignment, pose, expression, and illumination variation. In previous works, the …

Smiling and non-smiling emotion recognition based on lower-half face using deep-learning as convolutional neural network

F Malallah, A Al-Jubouri, A Sabaawi - … SDSP 2020, Cyperspace, 28-30 June …, 2020 - eudl.eu
Image understanding is considered important among researchers. In this paper, a new
technique is proposed to classify a detected face into two classes as a smile or non-smile …

Construction of a Bayesian decision theory‐based secure multimodal fusion framework for soft biometric traits

D Sadhya, SK Singh - IET Biometrics, 2018 - Wiley Online Library
In a soft biometric‐based model, multiple soft biometric characteristics are fused with one or
more primary biometric traits in a multimodal environment. In this study, the authors have …

Contribution to the fusion of soft facial and body biometrics for remote people identification

AEK Ghalleb, RB Slamia… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
In this work, we are interested in exploring soft biometrics to identify people at a distance
without recourse to their cooperation. The proposed system is based on fusing two soft …

Leveraging Auxiliary-Tasks for Height and Weight Estimation with Pose-Disentanglement

D Han, J Zhang, S Shan - Available at SSRN 4768711 - papers.ssrn.com
Body height and weight estimation from a single non-frontal face image suffers from poor
performance due to large face pose variance and lack of labeled data. In this paper, we …