Comparison of 3D portable display restitution techniques based on stereo and motion parallax

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Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...

The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

3D displays are becoming available to mainstream consumers, offering the ability to view and interact with 3D content without wearing AR/VR glasses. This paper reports the findings of a user study that compares the performance of a range of different input ...

Silicate glasses have played a major role as structural and functional materials in human civilization since ancient Egypt. Despite their widespread use and importance in modern society, silica glasses with complex geometries are only fabricated in automat ...

To obtain a more complete understanding of material microstructure at the nanoscale and to gain profound insights into their properties, there is a growing need for more efficient and precise methods that can streamline the process of 3D imaging using a tr ...

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...

3D reconstruction of deformable (or non-rigid) scenes from a set of monocular 2D image observations is a long-standing and actively researched area of computer vision and graphics. It is an ill-posed inverse problem, since-without additional prior assumpti ...

This work studies the nearshore hydrodynamics of a shallow turbulent flow entering a laterally unconfined quiescent ambient with a sloping bottom boundary. Examples of such flow are neutrally buoyant ebb tidal jets and hyperpycnal river plumes entering ope ...

The opportunities provided by adopting digitally-generated visual tools in urban participatory planning are compelling. These visual tools can promote interactions between authorities and citizens and among citizens. However, the urban participatory practi ...

To predict the response of masonry buildings to various types of loads, engineers use finite element models, specifically solid-element and macro-element models. For predicting masonry responses to seismic events in particular, equivalent frame models-a su ...

In the past decade, optical diffraction tomography has gained a lot of attention for its ability to create label-free three-dimensional (3D) images of the refractive index distribution of biological samples using scattered fields measured through holograph ...

Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are draped. However, they are either unable to handle multi-layered clothing, wh ...

Current post-earthquake damage assessment methodologies are not only time-consuming but also subjective in nature and difficult to document. Recent advancements in artificial intelligence and technological devices make it possible to accomplish this task a ...

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

We present an image-based pipeline for generating geometrical digital twins (GDTs) of stone masonry elements with detail down to the stone level. For this purpose, we acquire RGB images of the individual stones and of the wall during the construction phase ...

This paper proposes a representational model for image pairs such as consecutive video frames that are related by local pixel displacements, in the hope that the model may shed light on motion perception in primary visual cortex (V1). The model couples the ...

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...

Current research of designing prosthetic robotic hands mainly focuses on improving their functionality by devising new mechanical structures and actuation systems. Most of existing work relies on a single structure/system (e.g., bone-only or tissue-only) a ...

Comparison of 3D portable display restitution techniques based on stereo and motion parallax

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Advancing Self-Supervised Deep Learning for 3D Scene Understanding

3D diffractive optics for linear interconnects and nonlinear processing

Aggregating Spatial and Photometric Context for Photometric Stereo

Comparison of Mouse, 6DoF Controller and Pen Interactions on a Glasses-Free 3D Display

Multimaterial Volumetric Printing of Silica-Based Glasses

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Deep Learning for 3D Surface Modelling and Reconstruction

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

Laterally unconfined neutral or negative buoyancy inflow into a quiescent ambient over sloping bottom

Media Coverage of 3D Visual Tools Used in Urban Participatory Planning

Automated image-based generation of finite element models for masonry buildings

Exploring Novel Modalities for Optical Diffraction Tomography

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Image-based geometric digital twinning for stone masonry elements

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Robust Isometric Non-Rigid Structure-From-Motion

Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design