Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions - 2015


Lambertian model is a classical illumination model consisting of a surface albedo part and a lightweight intensity element. Some previous researches assume that the sunshine intensity part mainly lies in the massive-scale features. They adopt holistic image decompositions to separate it out, but it is troublesome to come to a decision the separating purpose between massive-scale and small-scale features. In this paper, we tend to propose to take a logarithm remodel, which can modification the multiplication of surface albedo and light intensity into an additive model. Then, a difference (substraction) between 2 pixels in a very neighborhood will eliminate most of the light intensity element. By dividing an area into subregions, edgemaps of multiple scales can be obtained. Then, every edgemap is multiplied by a weight that can be determined by an freelance coaching scheme. Finally, all the weighted edgemaps are combined to make a sturdy holistic feature map. Extensive experiments on four benchmark knowledge sets in controlled and uncontrolled lighting conditions show that the proposed method has promising results, especially in uncontrolled lighting conditions, even mixed with alternative complicated variations.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability ABSTRACT: Environmental, lighting, atmospheric, and temporal variables can all contribute to hyperspectral image spectral
PROJECT TITLE :Guest Editorial Special Issue on the 2015 IEEE International Instrumentation and Measurement Technology Conference Pisa, Italy, May 11–14, 2015ABSTRACT:The thirty second annual IEEE International Instrumentation
PROJECT TITLE :Distributed Optimal Control of Multiscale Dynamical Systems: A TutorialABSTRACT:Many complex systems, starting from renewable resources [one] to terribly-large-scale robotic systems (VLRS) [two], will be described
PROJECT TITLE :Deep Representations for Iris, Face, and Fingerprint Spoofing DetectionABSTRACT:Biometrics systems have significantly improved person identification and authentication, taking part in an necessary role in personal,
PROJECT TITLE:An Unified Multiscale Framework for Planar, Surface, and Curve SkeletonizationABSTRACT:Computing skeletons of 2D shapes, and medial surface and curve skeletons of 3D shapes, could be a difficult task. In particular,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry