no code implementations • 14 Feb 2020 • Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez
Although convolutional neural networks have been proven to be an effective tool to generate high quality maps from remote sensing images, their performance significantly deteriorates when there exists a large domain shift between training and test data.
1 code implementation • 30 Jul 2019 • Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez
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 images collected from different geographic locations.
no code implementations • 22 Jul 2018 • Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray
The underlying idea of this method is to generate the optimal projection matrix by considering both the sparsity as well as the correlation of the data samples.
no code implementations • 7 Jul 2018 • Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
The underlying idea of this method is to obtain a linear projection matrix by solving a nonlinear objective function based on the intrinsic geometrical structure of the data.
no code implementations • 9 Sep 2017 • Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
The underlying idea of this method is to generate the optimal projection matrix by retaining the original distribution of the data.
Classification Of Hyperspectral Images Dimensionality Reduction +1
no code implementations • 8 Aug 2017 • S. L. Happy, Ramanarayan Mohanty, Aurobinda Routray
However, the efficacy of the selection criteria for low sample size applications is neglected in most cases.
no code implementations • 17 Feb 2017 • Pranav Kumar, S. L. Happy, Swarnadip Chatterjee, Debdoot Sheet, Aurobinda Routray
The poor contrast and the overlapping of cervical cell cytoplasm are the major issues in the accurate segmentation of cervical cell cytoplasm.
no code implementations • 1 Apr 2016 • S. L. Happy, A. Dasgupta, P. Patnaik, A. Routray
Using the non-intrusive visual cues, the system classifies emotion and alertness state of the user, and provides appropriate feedback according to the detected cognitive state using facial expressions, ocular parameters, postures, and gestures.
no code implementations • 3 Dec 2015 • S. L. Happy, Priyadarshi Patnaik, Aurobinda Routray, Rajlakshmi Guha
However, currently there is a huge demand for spontaneous expression databases for the pragmatic implementation of the facial expression recognition algorithms.
no code implementations • 21 May 2015 • 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.
no code implementations • 15 May 2015 • S. L. Happy, Aurobinda Routray
Feature extraction is one important step in expression analysis which contributes toward fast and accurate expression recognition.
no code implementations • 15 May 2015 • S. L. Happy, Anjith George, Aurobinda Routray
A customizable approach is proposed for facial expression analysis, since the various expressions and intensity of expressions vary from person to person.
no code implementations • 15 May 2015 • S. L. Happy, Aurobinda Routray
These active patches are further processed to obtain the salient patches which contain discriminative features for classification of each pair of expressions, thereby selecting different facial patches as salient for different pair of expression classes.
Facial Expression Recognition Facial Expression Recognition (FER) +2
no code implementations • 13 May 2015 • Anirban Dasgupta, Anjith George, S. L. Happy, Aurobinda Routray
In this paper, we propose a robust real time embedded platform to monitor the loss of attention of the driver during day as well as night driving conditions.
no code implementations • 23 Nov 2013 • Nikunj Bajaj, Aurobinda Routray, S. L. Happy
In this paper, a holistic approach for facial expression recognition is proposed which captures the variation in facial features in temporal domain and classifies the sequence of images in different emotions.