Mansi Sharma

Indian Institute of Technology Madras | IIT Madras · Department of Electrical Engineering

This paper addresses the challenges in creating good quality composite 3D contents for 3DTV applications and postproduction visual-effects. We present a novel content-aware compositing technique that faithfully preserves the salient structures of cloned source and target content, and avoid major conflicting stereopsis cues to maintain a pleasant...

Background: Sleep problems have been considered as an unmet public health problem. Sleep problems are mostly under reported and neglected by the Indian population. Very limited studies have been conducted in India on this aspect. Aims and Objectives: The aim of the study was to estimate the prevalence of excessive day time sleepiness (EDS) and its...

Display technologies have evolved over the years. It is critical to develop practical HDR capturing, processing, and display solutions to bring 3D technologies to the next level. Depth estimation of multi-exposure stereo image sequences is an essential task in the development of cost-effective 3D HDR video content. In this paper, we develop a deep...

Background Rabies is a vaccine-preventable, zoonotic, viral disease which is virtually 100% fatal once clinical symptoms appear. India contributes for 59.9% of rabies death in Asia and 35% of deaths worldwide. Objectives The objectives of the study were to assess the basic knowledge of nursing students on causes, consequences, and treatment agains...

Home-based physical-rehabilitation programmes make up a significant portion of all physical rehabilitation programmes. Due to the absence of clinical supervision during home-based sessions, corrective feedback and movement quality evaluation are of utmost importance. We propose a complete home-based rehabilitation suite consisting of 1) a live-feed...

A neuromorphic camera is an image sensor that emulates the human eyes capturing only changes in local brightness levels. They are widely known as event cameras, silicon retinas or dynamic vision sensors (DVS). DVS records asynchronous per-pixel brightness changes, resulting in a stream of events that encode the brightness change's time, location, a...

Stereo correspondence matching is an essential part of the multi-step stereo depth estimation process. This paper revisits the depth estimation problem, avoiding the explicit stereo matching step using a simple two-tower convolutional neural network. The proposed algorithm is entitled as 2T-UNet. The idea behind 2T-UNet is to replace cost volume co...

Light field display caters to the viewer's immersive experience by providing binocular depth sensation and motion parallax. Glasses-free tensor light field display is becoming a prominent area of research in auto-stereoscopic display technology. Stacking light attenuating layers is one of the approaches to implement a light field display with a goo...

Stroke is a leading cause of death in humans. In the US, someone has a stroke every 40 seconds. More than half of the stroke-affected patients over the age of 65 have reduced mobility. The prevalence of stroke in our society is increasing; however, since stroke comes with a lot of post-hospitalization care, a lot of infrastructure is lacking to cat...

We present a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed scheme identifies multiplicative layers of light field view subsets optimized using convolutional neural networks for different scanning orders. Our approach exploits the hidden...

Background: The assessment of prevalence rate, determinants, reasons and major ailments due to self medication is amatter of vital importance for vulnerable social groups like slum dwellers in view of the high risk involved.Materials and Method: A cross-sectional study among 305 randomly selected urban slums adults were conducted atUdaipur, Rajasth...

This study presents a scheme for efficient representation, coding and streaming of static or dynamic light fields using the authors’ novel hybrid Tucker‐TensorSketch Karhunen–Loève transform‐singular value decomposition via double sketching (HTTS‐KLTSVD‐DS) algorithm. A deep learning model is employed to obtain acquired images from the light fields...

Terrorism has emerged as the newest menace to world peace and, in particular, India's national security. Terrorists are growing their sophistication and competence in every aspect of their operations. Weapon technology is becoming more accessible, and the buying power of terrorist groups is increasing due to the easy availability of both equipment...

The brand label is one of the framework benefits. Authorized creativity rights allow persons to retain ownership of their original goods and creative activity. Because classified invention became known via the capacity of people labor, it is limited by different enrolling and despotism fees. There are several types of intellectual property such as...

Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a better visual experience and viewer engagement as compared to conventional displays. With the evolution of 3D video and display technologies, the consumer market for High Dyna...

Display technologies have evolved over the years. It is critical to develop practical HDR capturing, processing, and display solutions to bring 3D technologies to the next level. Depth estimation of multi-exposure stereo image sequences is an essential task in the development of cost-effective 3D HDR video content. In this paper, we develop a novel...

The emerging and existing light field displays are highly capable of realistic presentation of 3D scenes on auto-stereoscopic glasses-free platforms. The light field size is a major drawback while utilising 3D displays and streaming purposes. When a light field is of high dynamic range, the size increases drastically. In this paper, we propose a no...

Water is the mass important component in the atmosphere since, on the one hand, it is necessary for the endurance of all forms of life, and on at the same time, it aids in the development, course, and cycling of nutritive in the ecosystem. 97% of this earth’s water is found in the sea and since sea water is pungent, it isn't exactly accessible to t...

Introduction: Consequent upon continued nationwide lockdown to check the spread of COVID-19 pandemic, online teaching and learning has emerged as a new mode to continue the regular educational programs in India. It is vital to assess the perception of this new method by various stakeholders of educational sector. Objectives: The objectives included...

Background: The prevalence of hypertension (HTN) and associated factors across social groups including tribal communities as a major non-communicable disease across world is a topic of very high contemporary relevance, especially when it is misconceived as a cause of morbidity only for the richer strata of the society. Aims and Objectives: The pre...

Role of guidance and counselling for mentally retarded children and their parent's deals with assisting and advising the MR children. The overall objectives of the study include the definition of mental retardation, causes and symptoms of mentally retarded children, challenges faced by the mentally retarded children and their parents, meaning of gu...

The review study highlights the importance of early childhood intervention on juvenile delinquency prevention. Early childhood is a time of rapid growth across all areas of development which include physical growth, behavioral development, emotional development, mental growth, cognitive development, social development. Different risk factors like e...

Physical rehabilitation programs frequently begin with a brief stay in the hospital and continue with home-based rehabilitation. Lack of feedback on exercise correctness is a significant issue in home-based rehabilitation. Automated movement quality assessment (MQA) using skeletal movement data (hereafter referred to as skeletal data) collected via...

Computational multi-view displays involving light fields are a fast emerging choice for 3D presentation of real-world scenes. Tensor autostereoscopic glasses-free displays use just few light attenuating layers in front of a backlight to output high quality light field. We propose three novel schemes, Focal Stack - Hybrid Tucker-TensorSketch Vector...

For humans, our "senses of touch" have always been necessary for our ability to precisely and efficiently manipulate objects of all shapes in any environment, but until recently, not many works have been done to fully understand haptic feedback. This work proposed a novel method for getting a better shape descriptor than existing methods for classi...

Recently, there has been extensive progress in developing autostereoscopic platforms for display purposes to present real-world 3D scenes. Light fields are the best emerging choice for computational multi-view autostereoscopic displays since they provide an optimized solution to support direction-dependent outputs simultaneously without sacrificing...

This paper presents a novel Generative Neural Network Architecture for modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially. Modelling the complete inverse function of an ANN involves generating the values of all features that corresponds to a desired output. On the other hand, partially modelling the...

Technology has an important role to play in the field of Rehabilitation, improving patient outcomes and reducing healthcare costs. However, existing approaches lack clinical validation, robustness and ease of use. We propose Tele-EvalNet, a novel system consisting of two components: a live feedback model and an overall performance evaluation model....

This paper presents a novel Generative Neural Network Architecture for modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially. Modelling the complete inverse function of an ANN involves generating the values of all features that corresponds to a desired output. On the other hand, partially modelling the...

This paper presents a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed scheme identifies multiplicative layers of light field view subsets optimized using a convolutional neural network for different scanning orders. Our approach exploits t...

This paper presents a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed scheme learns stacked multiplicative layers from subsets of light field views determined from different scanning orders. The multiplicative layers are optimized using a...

To create a realistic 3D perception on glasses-free displays, it is critical to support continuous motion parallax, greater depths of field, and wider fields of view. A new type of Layered or Tensor light field 3D display has attracted greater attention these days. Using only a few light-attenuating pixelized layers (e.g., LCD panels), it supports...

The task of predicting smooth and edge-consistent depth maps is notoriously difficult for single image depth estimation. This paper proposes a novel Bilateral Grid based 3D convolutional neural network, dubbed as 3DBG-UNet, that parameterizes high dimensional feature space by encoding compact 3D bilateral grids with UNets and infers sharp geometric...

This paper presents a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed scheme learns stacked multiplicative layers from subsets of light field views determined from different scanning orders. The multiplicative layers are optimized using a...

Display technology must offer high dynamic range (HDR) contrast-based depth induction and 3D personalization simultaneously. Efficient algorithms to compress HDR stereo data is critical. Direct capturing of HDR content is complicated due to the high expense and scarcity of HDR cameras. The HDR 3D images could be generated in low-cost by fusing low-...

The compression quality losses of depth sequences determine quality of view synthesis in free-viewpoint video. The depth map intra prediction in 3D extensions of the HEVC applies intra modes with auxiliary depth modeling modes (DMMs) to better preserve depth edges and handle motion discontinuities. Although such modes enable high efficiency compres...

This paper presents a novel Generative Neural Network Architecture for modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially. Modelling the complete inverse function of an ANN involves generating the values of all features that corresponds to a desired output. On the other hand, partially modelling the...

Near-eye light field displays provide a solution to visual discomfort when using head mounted displays by presenting accurate depth and focal cues. However, light field HMDs require rendering the scene from a large number of viewpoints. This computational challenge of rendering sharp imagery of the foveal region and reproduce retinal defocus blur t...

The task of predicting smooth and edge-consistent depth maps is notoriously difficult for single image depth estimation. This paper proposes a novel Bilateral Grid based 3D convolutional neural network, dubbed as 3DBG-UNet, that parameterize high dimensional feature space by encoding compact 3D bilateral grids with UNets and infers sharp geometric...

In this work, we propose a novel DIBR scheme for stereo HDR imaging and 3D display. The proposed scheme endows a new depth-adaptive cross-trilateral filter (DA-CTF) for recovering High Dynamic Range (HDR) images from multiple Low Dynamic Range (LDR) images captured at different exposure levels. Explicitly leveraging additional depth information in...

Existing light field cameras are susceptible to produce low-quality results as sensor noise can dominate measurements. Thus, denois-ing is a critical step in the light field (LF) subsequent analysis and processing. This paper presents a novel LF denoising framework based on an adaptive parallax and auto-regressive model analysis. The novel procedur...

Existing light field cameras are susceptible to produce low-quality results as sensor noise can dominate measurements. Thus, denois-ing is a critical step in the light field (LF) subsequent analysis and processing. This paper presents a novel LF denoising framework based on an adaptive parallax and auto-regressive model analysis. The novel procedur...

Cheap and fast 3D asset creation to enable AR/VR applications is a fast growing domain. This paper addresses a significant problem of reconstructing complete 3D information of a face in near real-time speed on a mobile phone. We propose a novel deep learning based solution to predict robust depth maps of a face, one forward facing and the other bac...

This paper presents a new depth-image-based rendering algorithm for free-viewpoint 3DTV applications. The cracks, holes, ghost countors caused by visibility, disocclusion, resampling problems associated with 3D warping lead to serious rendering artifacts in synthesized virtual views. This challenging problem of hole filling is formulated as an alge...

Cheap and fast 3D asset creation to enable AR/VR applications is a fast growing domain. This paper addresses a significant problem of reconstructing complete 3D information of a face in near real-time speed on a mobile phone. We propose a novel deep learning based solution to predict robust depth maps of a face, one forward facing and the other bac...

This paper presents a novel image fusion scheme for view synthesis based on a layered depth profile of the scene and scale periodic transform. To create a layered depth profile of the scene, we utilize the unique properties of scale transform considering the problem of depth map computation from reference images as a certain shift-variant problem....

The consumer market of High Dynamic Range (HDR) displays and cameras is blooming rapidly with the advent of 3D video and display technologies. Specialised agencies like Moving Picture Experts Group and International Telecommunication Union are demanding the standardization of latest display advancements. Lack of sufficient experimental data is a ma...

This paper presents a novel scheme for light field compression based on a randomize hierarchical multi-view extension of high efficiency video coding (dubbed as RH-MVHEVC). Specifically, a light field data are arranged as a multiple pseudotemporal video sequences which are efficiently compressed withMV-HEVC encoder, following an integrated random c...

The consumer market of High Dynamic Range (HDR) displays and cameras is blooming rapidly with the advent of 3D video and display technologies. Specialised agencies like Moving Picture Experts Group and International Telecom-munication Union are demanding the standardization of lat-est display advancements. Lack of sufficient experimental data is a...

Existing light-field cameras are susceptible to produce low-quality results as sensor noise can dominate measurements. Thus, denoising is a critical step in the light-field (LF) subsequent analysis and processing. This paper presents a novel LF denoising framework based on an adaptive parallax and auto-regressive model analysis. The novel procedure...

Communication is the most useful tool to impart knowledge, understand ideas, clarify thoughts and expressions, organize plan and manage every single day-to-day activity. Although there are different modes of communication, physical barrier always affects the clarity of the message due to the absence of body language and facial expressions. These ba...

This paper presents a new hybrid Kinect-variety based synthesis scheme that renders artifacts-free multiple views for autostereoscopic/ auto-multiscopic displays. The proposed approach does not explicitly require dense scene depth information for synthesizing novel views from arbitrary viewpoints. Instead, the integrated framework first constructs...

This paper addresses the challenges in creating good quality composite 3D contents for 3DTV applications and post-production visual-effects. We present a novel content-aware compositing technique that faithfully preserves the salient structures of cloned source and target content, and avoid major conflicting stereopsis cues to maintain a pleasant 3...

This paper presents a novel low-cost hybrid Kinect-variety based content generation scheme for 3DTV displays. The integrated framework constructs an efficient consistent image-space parameterization of 3D scene structure using only sparse depth information of few reference scene points. Under full-perspective camera model, the enforced Euclidean co...

This paper presents a novel parameterized variety-based 3D exploration model to comprehend the sparse unstructured collection of photographs, and automatically plan virtual 3D tours of the world’s landmarks through interesting viewpoints without explicit 3D reconstruction. The proposed system analyzes the collection of unstructured but related imag...

This paper presents a novel image variety-Based approach that elegantly models the space of a broad class of perspective and non-perspective stereo varieties within a single, unified framework. The basic concept of parameterized variety presented earlier by Genc and Ponce [1] is extended to represent the nonlinear space of images. An efficient alge...

This paper presents a novel image variety-Based approach that elegantly models the space of a broad class of perspective and non-perspective stereo varieties within a single, unified framework. The basic concept of parameterized variety presented earlier by Genc and Ponce [1] is extended to represent the nonlinear space of images. An efficient alge...

This paper presents a novel rendering algorithm based on depth image warping to support virtual pan-tilt-zoom (PTZ) functionalities during 3D view generation. A method based on "3D-ness" knob is proposed for automatically specifying the virtual camera positions along a path, to model the PTZ mechanism in projective framework. Two novel quality enha...

This paper presents a novel parameterized variety based architecture for interactive 3DTV and Free viewpoint TV (FTV) applications. The proposed signal representation scheme allows to render free viewpoint images, taking only few sample images of the scene acquired by arbitrary, uncalibrated cameras. We extend the Parameterized Image Variety approa...

This paper presents a novel parameterized variety based view synthesis scheme for 3DTV and multi-view systems. We have generalized the parameterized image variety approach to image based rendering proposed in [1] to handle full perspective cameras. An algebraic geometry framework is proposed for the parameterization of the variety associated with f...

This paper presents a novel parameterized variety based view synthesis scheme for 3DTV and multi-view systems. We have generalized the parameterized image variety approach to image based rendering proposed in [1] to handle full perspective cameras. An algebraic geometry framework is proposed for the parameterization of the variety associated with f...

Multi-view stereo, novel view synthesis and high dynamic range (HDR) imaging are three pertinent areas of concern for high quality 3D view generation. This paper presents a novel parameterized variety based model that integrates these different domains into one common framework with an envisioned goal, to accommodate multi-view stereo for multiple...

This paper presents a novel parameterized variety based architecture for interactive 3DTV and Free viewpoint TV (FTV) applications. The proposed signal representation scheme allows to render free viewpoint images, taking only few sample images of the scene acquired by arbitrary, uncalibrated cameras. We extend the Parameterized Image Variety approa...