126 citations · 281 across the 11 of their papers we have counts for
15 papers · 1 filter
Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
Sumit Agarwal, Harshit S. Sikchi, Suparna Rooj +2
Face recognition in real life situations like low illumination condition is still an open challenge in biometric security. It is well established that the state-of-the-art methods…
Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification
Ramanarayan Mohanty, S L Happy, Aurobinda Routray
Dimensionality reduction (DR) methods have attracted extensive attention to provide discriminative information and reduce the computational burden of the hyperspectral image (HSI)…
ESCaF: Pupil Centre Localization Algorithm with Candidate Filtering
Anjith George, Aurobinda Routray
Algorithms for accurate localization of pupil centre is essential for gaze tracking in real world conditions. Most of the algorithms fail in real world conditions like illumination…
A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image
Ramanarayan Mohanty, S L Happy, Nilesh Suthar +1
This work proposes an adaptive trace lasso regularized L1-norm based graph cut method for dimensionality reduction of Hyperspectral images, called as `Trace Lasso-L1 Graph Cut' (TL…
Recognition of Activities from Eye Gaze and Egocentric Video
Anjith George, Aurobinda Routray
This paper presents a framework for recognition of human activity from egocentric video and eye tracking data obtained from a head-mounted eye tracker. Three channels of informatio…
Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images
Ramanarayan Mohanty, S L Happy, Aurobinda Routray
In this paper, we propose an L1 normalized graph based dimensionality reduction method for Hyperspectral images, called as L1-Scaling Cut (L1-SC). The underlying idea of this metho…