Lookup NU author(s): Mahammad Fakhir,
Dr Wai Lok Woo,
Professor Jonathon Chambers,
Professor Satnam Dlay
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Variance pose is an important research topic in face recognition. The alteration of distance parameters across variance pose face features is a challenging. We provide a solution for this problem using perspective projection for variance pose face recognition. Our method infers intrinsic camera parameters of the image which enable the projection of the image plane into 3D. After this, face box tracking and centre of eyes detection can be identified using our novel technique to verify the virtual face feature measurements. The coordinate system of the perspective projection for face tracking allows the holistic dimensions for the face to be fixed in different orientations. The training of frontal images and the rest of the poses on FERET database determine the distance from the centre of eyes to the corner of box face. The recognition system compares the gallery of images against different poses. The system initially utilises information on position of both eyes then focuses principally on closest eye in order to gather data with greater reliability. Differentiation between the distances and position of the right and left eyes is a unique feature of our work with our algorithm outperforming other state of the art algorithms thus enabling stable measurement in variance pose for each individual.
Author(s): Fakhir MM, Woo WL, Chambers JA, Dlay SS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Optics, Photonics and Digital Technologies for Imaging Applications IV
Year of Conference: 2016
Online publication date: 29/04/2016
Acceptance date: 02/04/2016
Publisher: SPIE Society of Photo-Optical Instrumentation Engineers.
Library holdings: Search Newcastle University Library for this item