Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Electrical Engineering > Rajiv Ranjan Sahay
Assistant Professor Grade-I
Electrical Engineering
Our research is centred around low-level vision problems such as shape-from-X, deblurring space-variantly blurred images, depth and image inpainting/disocclusion and super-resolution. We aim to propose new optimization-based algorithms to address these problems.?In research work conducted earlier,?we have demonstrated several improvements to the basic shape-from-focus technique. Significantly, we have proposed an approach to handle parallax as well as space-variant blur?caused due to?axial relative motion between the scene and the camera. This idea can be extended to perform super-resolution and reconstruct high-resolution image as well as depth map using a practical camera. This is the goal?of?one of the?sponsored projects I am currently handling.??
We have several publications aiming to remove fences/occlusions from images captured by a smartphone camera with relatively arbitrary motion. This interesting problem has several challenges and we seek to propose machine learning and optimization based techniques to segment out fence pixels and remove them from the input image. Also, we have proposed a multi-modal approach to this problem by using the Microsoft Kinect sensor to obtain RGB-D data.
Recently, we have shifted our attention to understanding multimedia data. Specifically, we seek to understand Indian classical dance from video data. We have used deep learning algorithms for body pose and gesture identification in such videos. Many approaches for hand detection in cluttered background and gesture recognition have been proposed
More information about our latest research activities can be found at http://www.cvlab.iitkgp.ac.in/index.html
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A non-local superpatch-based algorithm exploiting low rank prior for restoration of hyperspectral images by Sarkar S., Sahay R. R. IEEE Transactions on Image Processing - (Accepted/In-Press)
A robust multi-scale deep learning approach for unconstrained hand detection aided by skin segmentation by Roy K., Sahay R. R. The Visual Computer - (Accepted/In-Press)
Robust Depth Map Inpainting Using Superpixels and Non-local Gauss-Markov Random Field Prior by Satapathy S., Sahay R. R. Signal Processing: Image Communication - (Accepted/In-Press)
Rasabodha: Understanding Indian classical dance by recognizing emotions using deep learning by Mohanty A., Sahay R. R. Pattern Recognition 79 97-113 (2018)
Super-resolution image de-fencing using a non-local non-convex prior by Jonna S., Satpathy S. , Sahay R. R. Applied Optics 57 322-333 (2018)
Removal of Eye Blink Artifacts from EEG Signals using Sparsity by Sreeja S. R., Sahay R. R., Samanta D. , Mitra P. IEEE International Journal of Biomedical and Health Informatics - (2017)
Detection and removal of fence occlusions in an image using a video of the static/dynamic scene by Sankarganesh Jonna, Krishna K. Nakka, Vrushali Khasare, Rajiv R. Sahay and Mohan S. Kankanhalli Journal of Optical Society of America A (JOSA A), - (2016)
Nrityabodha: Towards understanding Indian classical dance using a deep learning approach by Aparna Mohanty, P. Vaishnavi, P. Jana, A. Majumdar, Alfaz Ahmed, Trishita Goswami and Rajiv Ranjan Sahay Signal Processing: Image Communication - (2016)
Shape extraction of low-textured objects in video microscopy by Rajiv Ranjan Sahay, Ambasamudram N. Rajagopalan Journal of Microscopy - (2012)
Dealing With Parallax in Shape-From-Focus by Rajiv Ranjan Sahay, Ambasamudram N. Rajagopalan IEEE Transactions on Image Processing - (2011)
Sukla Satapathy
Area of Research: Image Processing and Computer Vision
Latha H N
Area of Research: Image Processing and Computer Vision
Prashanth Kumar G
Area of Research: Image Processing and Computer Vision
Moushumi Medhi
Area of Research: Image Processing and Computer Vision
