In this paper, authors have proposed two novel techniques for occlusion detection and then
localization of the occluded section from a given 3D face image if occlusion is present. For …

In this work, we propose a 3D occlusion facial recognition network based on a multi-feature
combination threshold (MFCT-3DOFRNet). First, we design and extract the depth …

Although, automatic face recognition has been studied for more than four decades; there are
still some challenging issues due to different variations in face images. There are mainly two …

The pivotal purpose of this literature is to describe a new approach for 3D faces recognition
in the presence of pose, expression, as well as illumination based on fusion of wavelet …

In this paper the pivotal contribution of the authors is to recognize the 3D face images from
range images in the unconstrained environment ie under varying illumination, pose as well …

The pivotal research work that has been carried out and described in this literature
acknowledges the importance of various smoothing techniques for processing 3D human …

This paper presents an extension system to a closed-source, real-time physics engine for
improving structured stacking behavior with small-scale objects such as wooden toy bricks …

THere, authors have introduced an online face recognition system where the recognition
task becomes easy to execute and validate using cross-recognition mechanism.RaFaReS,' …

ABSTRACT In the Sign Language (SL) research domain, gestures are characterised using
motion features in order to extract signs. For this it is necessary to know the position of hands …

Advancement in scientific representation should accelerate the processing of images if it is
more relevant and worthy with the experiment. Scientific visualizing of data (here, face …