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 …
understanding the application of artificial intelligence (AI) in terms of marketing themselves …
The reliability of forensic body-shape identification
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 …
criminal charges. Identification techniques range from the specific biometric-based to the …
Integration of multiple soft biometrics for human identification
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 …
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
Forensic DNA analysis has been critical in prosecuting crimes and overturning wrongful
convictions. At the same time, other physical and digital forensic identification techniques …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
performance due to large face pose variance and lack of labeled data. In this paper, we …