Affine‐scale invariant feature transform and two‐dimensional principal component analysis: a novel framework for affine and scale invariant face recognition-Reference-Cited by-同舟云学术

Affine‐scale invariant feature transform and two‐dimensional principal component analysis: a novel framework for affine and scale invariant face recognition

Published:2016-02 Issue:1 Volume:10 Page:43-59
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

A Vinay.¹,Shekhar Vinay S.¹,Kumar C Akshay²,S Natarajan.²,Murthy K.N. Balasubramanya¹

Affiliation:

1. Computer Science and Engineering DepartmentPES University100 Feet Ring Road, BSK III StageBangalore560085KarnatakaIndia

2. Department of Electronics and Communication EngineeringPES Institute of Technology100 Feet Ring Road, BSK III StageBangalore560085KarnatakaIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2014.0402

Reference46 articles.

1. Electronic Frontier Foundation (eff.org) article ‘FBI Plans to Have 52 Million Photos in its NGI Face Recognition Database by Next Year’ (accessed August 26 2014):https://www.eff.org/deeplinks/2014/04/fbi‐plans‐have‐52‐million‐photos‐its‐ngi‐face‐recognition‐database‐next‐year

2. New York Times article ‘N.S.A. Collecting Millions of Faces from Web Images’ (accessed August 26 2014):http://www.nytimes.com/2014/06/01/us/nsa‐collecting‐millions‐of‐faces‐from‐web‐images.html?_r=0

3. Distinctive Image Features from Scale-Invariant Keypoints

4. ASIFT: A New Framework for Fully Affine Invariant Image Comparison

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