Výsledky vyhledávání - "Rajiv R. Sahay"

A robust multi-scale deep learning approach for unconstrained hand detection aided by skin segmentation

Autor: Rajiv R. Sahay, Kankana Roy

Publikováno v: The Visual Computer. 38:2801-2825

Robust detection of hands in images at different scales, especially, small-sized hands, has remained a challenge in computer vision. In this work, we design a multi-scale deep learning algorithm to detect hands in unconstrained scenarios as well as f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5e78e83543b4332ea90878cd5df2112
https://doi.org/10.1007/s00371-021-02157-8

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A Non-Local Superpatch-Based Algorithm Exploiting Low Rank Prior for Restoration of Hyperspectral Images

Autor: Rajiv R. Sahay, Sourish Sarkar

Publikováno v: IEEE Transactions on Image Processing. 30:6335-6348

We propose a novel algorithm for the restoration of a degraded hyperspectral image. The proposed algorithm exploits the spatial as well as the spectral redundancy of a degraded hyperspectral image in order to restore it without having any prior knowl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841f8515e70ef05b9f2215a1118f1f42
https://doi.org/10.1109/tip.2021.3093780

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A Local Modified U-net Architecture for Image Denoising

Autor: Latha H N and Rajiv R Sahay

Publikováno v: International Journal for Modern Trends in Science and Technology. 6:140-144

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9033ccb02389488d7d3ad25fa99045cc
https://doi.org/10.46501/ijmtstciet27

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Blur - Map Estimation and Deblurring of Degraded Image by Non - Convex Regularization Approach

Autor: Latha H N and Rajiv R Sahay

Publikováno v: International Journal for Modern Trends in Science and Technology. 6:134-139

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0288ad8ec12702959b32b93bbf99165
https://doi.org/10.46501/ijmtstciet26

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Unguided Depth Map Completion Using Weighted Schatten p-norm Minimization

Autor: Sukla Satapathy, Rajiv R. Sahay

Publikováno v: ICCE

As depth map completion is an ill-posed inverse problem, the regularization constraint plays an important role. Matrix completion with nuclear norm minimization and a data fidelity term with Frobenius norm leads to a convex optimization problem. Howe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ca0267e1ead49d58f3187bc7c32b41f
https://doi.org/10.1109/icce50685.2021.9427715

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Image Restoration by Graduated Non-convex Local Adaptive Priors: An Energy Minimization Approach

Autor: H N Latha, Rajiv R. Sahay

Publikováno v: Inventive Systems and Control ISBN: 9789811613944

This work proposes a novel algorithm to estimate latent focused image of a degraded picture by a sparsity-based optimization framework using graduated non-convex discontinuity adaptive Markov random field (GNC-DAMRF) regularization prior by minimizin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b367c5d2fb3ff5e51a690f2ce0639b4
https://doi.org/10.1007/978-981-16-1395-1_26

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Joint Estimation of Depth Map and Focus Image in SFF: An Optimization Framework by Sparsity Approach

Autor: Rajiv R. Sahay, H N Latha

Publikováno v: 2020 International Conference on Communication and Signal Processing (ICCSP).

In this paper, we addressed the problem of estimating the 3D structure of an object from Shape-from-focus (SFF) cue by utilizing sparsity techniques. A set of space-variantly defocused images acquired with respect to relative motion between image cap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::251c302ced465887c319a3a2e2a20b15
https://doi.org/10.1109/iccsp48568.2020.9182300

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Simultaneous Denoising and Deblurring by Non-Convex Regularization: Alternating Minimization Framework

Autor: H N Latha, Rajiv R. Sahay, H N Poornima

Publikováno v: 2020 International Conference on Communication and Signal Processing (ICCSP).

In this paper, we have addressed the problem associated with simultaneous denoising and deblurring of a degraded image. We have implemented Discontinuity Adaptive Markov Random Field (DAMRF) algorithm along with a nonlocal based filtering technique.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b1a2353da46759b4139cbc67845336c5
https://doi.org/10.1109/iccsp48568.2020.9182162

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Exploiting Low Rank Prior for Depth Map Completion

Autor: Sukla Satapathy, Rajiv R. Sahay

Publikováno v: NCC

Occurrence of regions with missing data in depth maps either captured by active sensors or estimated by different passive computer vision algorithms, is unavoidable due to several reasons. The task of depth inpainting from a single degraded depth map

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d57eeeb4896cf2a5ae4cd737a1873fd2
https://doi.org/10.1109/ncc48643.2020.9056056

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Rasabodha: Understanding Indian classical dance by recognizing emotions using deep learning

Autor: Aparna Mohanty, Rajiv R. Sahay

Publikováno v: Pattern Recognition. 79:97-113

Understanding human behavior using computer vision techniques for recognizing body posture, gait, hand gesture, and facial expressions has recently witnessed significant research activity. Emotions/affect have a direct correlation with the mental sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08f2f54f113c0613b2f5707ce5d643a1
https://doi.org/10.1016/j.patcog.2018.01.035

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