602 citations · 1k across the 16 of their papers we have counts for
16 papers
How Unique Is a Face: An Investigative Study
Michal Balazia, S L Happy, Francois Bremond +1
Face recognition has been widely accepted as a means of identification in applications ranging from border control to security in the banking sector. Surprisingly, while widely acc…
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
Onur Tasar, S L Happy, Yuliya Tarabalka +1
Although convolutional neural networks have been proven to be an effective tool to generate high quality maps from remote sensing images, their performance significantly deteriorat…
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Onur Tasar, S L Happy, Yuliya Tarabalka +1
Due to the various reasons such as atmospheric effects and differences in acquisition, it is often the case that there exists a large difference between spectral bands of satellite…
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)…
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…
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Ramanarayan Mohanty, S L Happy, Aurobinda Routray
The lack of proper class discrimination among the Hyperspectral (HS) data points poses a potential challenge in HS classification. To address this issue, this paper proposes an opt…
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…
Automated Alertness and Emotion Detection for Empathic Feedback During E-Learning
S L Happy, A. Dasgupta, P. Patnaik +1
In the context of education technology, empathic interaction with the user and feedback by the learning system using multiple inputs such as video, voice and text inputs is an impo…
The Indian Spontaneous Expression Database for Emotion Recognition
S L Happy, Priyadarshi Patnaik, Aurobinda Routray +1
Automatic recognition of spontaneous facial expressions is a major challenge in the field of affective computing. Head rotation, face pose, illumination variation, occlusion etc. a…
Unsupervised Segmentation of Overlapping Cervical Cell Cytoplasm
S L Happy, Swarnadip Chatterjee, Debdoot Sheet
Overlapping of cervical cells and poor contrast of cell cytoplasm are the major issues in accurate detection and segmentation of cervical cells. An unsupervised cell segmentation a…
A Real Time Facial Expression Classification System Using Local Binary Patterns
S. L. Happy, Anjith George, Aurobinda Routray
Facial expression analysis is one of the popular fields of research in human computer interaction (HCI). It has several applications in next generation user interfaces, human emoti…
A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications
S L Happy, Anirban Dasgupta, Anjith George +1
Human Computer Interaction (HCI) is an evolving area of research for coherent communication between computers and human beings. Some of the important applications of HCI as reporte…
Robust Facial Expression Classification Using Shape and Appearance Features
S. L. Happy, Aurobinda Routray
Facial expression recognition has many potential applications which has attracted the attention of researchers in the last decade. Feature extraction is one important step in expre…
Automatic Facial Expression Recognition Using Features of Salient Facial Patches
S L Happy, Aurobinda Routray
Extraction of discriminative features from salient facial patches plays a vital role in effective facial expression recognition. The accurate detection of facial landmarks improves…
A Vision Based System for Monitoring the Loss of Attention in Automotive Drivers
Anirban Dasgupta, Anjith George, S. L. Happy +1
On board monitoring of the alertness level of an automotive driver has been a challenging research in transportation safety and management. In this paper, we propose a robust real…
Dynamic Model of Facial Expression Recognition based on Eigen-face Approach
Nikunj Bajaj, Aurobinda Routray, S L Happy
Emotions are best way of communicating information; and sometimes it carry more information than words. Recently, there has been a huge interest in automatic recognition of human e…