A. Vinay
PES University
57 Papers
99 Citations
A. Vinay is an academic researcher from PES University. The author has contributed to research in topics: Facial recognition system & Scale-invariant feature transform. The author has an hindex of 8, co-authored 54 publications.
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Papers
Face Recognition Using Gabor Wavelet Features with PCA and KPCA - A Comparative Study☆
TL;DR: It is shown that the GABOR-PCA variant is better suited for FR tasks when GABor is employed as the feature extractor, and the difference in performance between linear and non-linear choices is demonstrated.
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ORB-PCA Based Feature Extraction Technique for Face Recognition
TL;DR: This paper proposes a novel technique that utilizes ORB, and in turn, incorporate PCA as a post-processing step to reduce the dimensionality of the descriptors and hence improve ORB's authentication performance over the widespread methods such as SIFT-PCA and SURF- PCA.
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Feature Extractionusing ORB-RANSAC for Face Recognition
A. Vinay,Avani S. Rao,Vinay S. Shekhar,C. Akshay Kumar,K. N. Balasubramanya Murthy,Sriraam Natarajan +5 more
TL;DR: A novel technique is proposed that utilizes ORB, and in turn, addresses a few of its crucial inadequacies by incorporating RANSAC as a post-processing step to remove redundant key-points and noise and hence improve ORB's efficacy to proffer a robust system for facial image recognition.
26
Facial Landmark Localization - A Literature Survey
Dhananjay Rathod,A. Vinay,S. S. Shylaja,Sriraam Natarajan +3 more
- 01 Jan 2014
TL;DR: The purpose of this survey is to give an overview of facial landmarks localization techniques and their progress over last 7-8 years.
20
Face Recognition using Filtered Eoh-sift☆
A. Vinay,Ganesh Kathiresan,Durga Akhil Mundroy,H. Nihar Nandan,Chetna Sureka,K. N. Balasubramanya Murthy,Sriraam Natarajan +6 more
TL;DR: This paper shows that, with two filters which when used in a specific order, significantly boost the potency of the EOH-SIFT approach to identify faces, this approach has given very promising results when tested on the ORL database.
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