Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"3D vision"”.
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Aural imaging from 3D vision
… maps have many useful applications in computer vision. They can help in performing such tasks as background separation, segmentation, and object recognition. Despite the continued exponential advances in the computational capacity of microprocessors, current personal computers are limited in …
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Resource-efficient optimizations of 3D vision models for segmentation and detection
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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3D diffusion based generation model for point cloud annotation and generation
… with the rapid advancement of applications and 3D scanning sensors, the demand for 3D deep learning based technology and data has increased dramatically. Especially 3D shape with semantic labels plays a significant role in 3D vision problems, such as auto-driven, 3D object detection and 3D scene …
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A real time 3D surface measurement system using projected line patterns.
… by measuring the surface of the products. A 3D vision system is developed for the real time online measurement of the product surface. In this thesis, there are three main research themes. First is to produce an industrial application. All the components of this vision system are selected …
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Using multiple view geometry for transmission tower reconstruction
… conduct power line inspections need to have a vision system which is robust for their harsh working environment. State-of-the-art work in this field focuses on detecting primitive shapes in 2D images in order to isolate power line hardware. Recent trends are starting to explore 3D vision for …
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Better Generalization with Less Human Annotation Using Meta-Learning and Self-Supervised Learning for Image Analysis
… self-supervised learning settings, introduce the 3D self-supervised image patch reconstruction task to significantly improve the incidental lung nodule classification accuracy for the data-hungry 3D Vision Transformer (3D-ViT) model, and propose the self-supervised learning model Blind-Trace …
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Using Texture Features To Perform Depth Estimation
… in the field of depth measurements is Computer Vision which uses techniques on 2D images to achieve the desired result. Out of the many 3D vision techniques used, stereovision is a field where a lot of research is being done to solve this kind of problem. Human vision plays an important part …
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Scaling 3D Scene Perception via Probabilistic Programming
Understanding and interpreting the 3D structure of the world is a central challenge in artificial intelligence. Our physical world is 3D, yet our AI systems often “see” that world through pixels and images. In order to build truly intelligent AI systems, we must go beyond pixels and images and …
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3D machine vision system for robotic weeding and plant phenotyping
… genomic research. This research applied 2D and 3D imaging techniques to develop an innovative crop plant recognition system and a 3D holographic plant phenotyping system.</p> <p>A 3D time-of-flight (ToF) camera was used to develop a crop plant recognition system for broccoli and soybean plants. …
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Computer Vision Applications for Autonomous Aerial Vehicles
… former technology. The proliferation of special vision sensors, such as depth cameras, lidar sensors and thermal cameras, and major breakthroughs in computer vision and machine learning fields accelerated the advance of UAV research and technology. However, due to certain unique challenges …
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Holistic indoor scene understanding, modelling and reconstruction from single images.
3D indoor scene understanding in computer vision refers to perceiving the semantic and geometric information in a 3D indoor environment from partial observations (e.g. images or depth scans). Semantics in a scene generally involves the conceptual knowledge such as the room layout, object …
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ENS-CVXNet: Convex decomposition of complex scenes
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Experimentelle Bestimmung der "Verrechnungs"-Zeiten beim Stereosehen anhand der verzögert wahrgenommenen Tiefenumkehr von bewegten, teilweise verdeckten Objekten
Wie viel Zeit benötigt unser 3D-Sehen? Bei pseudoskopischer Betrachtung eines undurchsichtigen Objekts („Zweig“), das räumlich vor einer zufallsgemusterten Fläche („Hecke“) liegt, erscheint das Objekt in einem Ausschnitt hinter dieser Fläche. Bewegt sich das Muster der Hecke, das räumlich vor …
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Improving robustness of 3D reconstruction for sparse captures and challenging environments
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Design and Characterization of a Current Assisted Photo Mixing Demodulator for Tof Based 3d Cmos Image Sensor
Due to the increasing demand for 3D vision systems, many efforts have been recently concentrated to achieve complete 3D information analogous to human eyes. Scannerless optical range imaging systems are emerging as an interesting alternative to conventional intensity imaging in a variety of …
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Exploring neural responses in the human brain to real-world face size and distance
In natural binocular vision, three-dimensional (3D) geometry provides information about physical facial size and egocentric distance that can inform social behaviours. Yet most neuroimaging studies present two-dimensional stimuli at fixed distances and overlook 3D spatial cues. In this fMRI study, …