My Account | Careers | Downloads | Blog

PROJECT TITLE :

High-resolution face verification using pore-scale facial features - 2015

ABSTRACT:

Face recognition strategies, which sometimes represent face images using holistic or native facial features, rely heavily on alignment. Their performances conjointly suffer a severe degradation below variations in expressions or poses, particularly when there is one gallery per subject only. With the simple access to high-resolution (HR) face images these days, some HR face databases have recently been developed. But, few studies have tackled the employment of HR information for face recognition or verification. During this paper, we propose a create-invariant face-verification method, which is robust to alignment errors, using the HR information based on pore-scale facial features. A replacement keypoint descriptor, namely, pore-Principal Element Analysis (PCA)-Scale Invariant Feature Remodel (PPCASIFT)-custom-made from PCA-SIFT-is devised for the extraction of a compact set of distinctive pore-scale facial options. Having matched the pore-scale features of 2-face regions, a good sturdy-fitting scheme is proposed for the face-verification task. Experiments show that, with one frontal-view gallery only per subject, our proposed method outperforms a variety of normal verification methods, and can achieve wonderful accuracy even the faces are below giant variations in expression and create.


Did you like this research project?

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

Feature Extraction Image Resolution Image Representation Face Recognition Principal Component Analysis Transforms Pore-Scale Facial Feature Face Verification Pose Invariance Expression Invariance Alignmenterror- Robust
PROJECT TITLE :A High-Resolution DOA Estimation Method With a Family of Nonconvex Penalties - 2018ABSTRACT:The low-rank matrix reconstruction (LRMR) approach is widely employed in direction-of-arrival (DOA) estimation. As the
PROJECT TITLE :Building Damage Detection Using Object-Based Image Analysis and ANFIS From High-Resolution Image (Case Study: BAM Earthquake, Iran)ABSTRACT:Building injury detection after earthquake would help to fast relief and
PROJECT TITLE :Determining the Relationship Between Census Data and Spatial Features Derived From High-Resolution Imagery in Accra, GhanaABSTRACT:Remotely sensed-based estimates of dwelling and population characteristics can provide
PROJECT TITLE :Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two MethodsABSTRACT:Mispositioning of buried utilities is an increasingly important problem both in industrialized and developing
PROJECT TITLE :Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray VarianceABSTRACT:Automatic building extraction remains an open research topic in digital photogrammetry and

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

Project Enquiry