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.
Results
Showing 1 to 20 of 283 for “"RGB"”.
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Obstacle and Change Detection Using RGB Cameras
Obstacle and change detection using RGB camera is implemented with 48 training videos of obstacle-free paths, considering the surroundings as part of the paths to detect any ob- stacles and changes on the test image paths in this study. This study introduces a dual- approach framework combining …
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Applications of RGB-D Cameras in Healthcare
RGB-D cameras are a type of imaging device that includes a standard colour camera and a depth sensor. The depth sensor records depth images, where each pixel measures the distance of the target from the camera. Using data from the RGB-D camera, we can recon- struct a three-dimensional scene. Since …
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RGB-D Likelihood for 3D Inverse Graphics
… 3D Neural Embedding Likelihood (3DNEL) over RGB-D images to address this gap. 3DNEL uses neural embeddings to predict 2D-3D correspondences from RGB and combines this with depth in a principled manner. 3DNEL is trained entirely from synthetic images and generalizes to real-world data. To …
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Innovative color management methods for RGB printing
The demand for printing excellent quality images has increased tremendously in parallel to the growth spurts in the digital camera market. Printing good quality images consistently, however, remains a difficult and/or expensive venture despite the numerous advances in color technology and printing. …
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Innovative color management methods for RGB printing
Re-calibrating a printer in response to systematic changes is measurement and labor intensive. In this study, a fast correction method with cycle-to-cycle control was proposed. The process includes two steps: the creation of look-up table using a characterization data set, and image color …
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3D facial performance capture from monocular RGB video.
… interest in 3D facial reconstruction from 2D RGB input. Due to the depth ambiguity and facial appearance variation, 3D facial performance capture and modelling from 2D images are inherently ill-posed problems. However, with strong prior knowledge of the human face, it is possible to accurately …
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Free space exploration from a single RGB image
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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RGB and NIR Image Registration for Proximal Multiband Imaging
… Multispectral imaging relying on red-green-blue (RGB) and near-infrared (NIR) imagery has become an essential tool in high-throughput plant phenotyping. However, accurate analysis requires precise alignment between the images captured using these different modalities. This alignment process is …
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Learning Sim-to-Real Robot Parkour from RGB Images
… lacks the semantic information present in RGB images. This thesis investigates the application of an RGB visual locomotion policy for navigating complex environments, specifically focusing on extreme parkour terrain. While RGB data offers a deeper understanding of the scene through semantic …
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A New Inspection Method Based on RGB-D Profiling
… thesis presents an inspection method based on RGB-D profiling for the rail industry. The proposed approach uses inexpensive RGB-D cameras to generate color and geometrical information of the observations, and stitches each consecutive scan from the sensor to form a map, provided that the two …
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Parallelized two-stage object detection in cluttered RGB-D scenes
… how a state-of-the-art object detector, based on RGB-D images, could be parallelized for use on GPUs. By using nVidia's CUDA platform we improved the running times of critical sections up to 38 times. We also built a two-stage pipeline that improves multiple object detection in cluttered scenes. …
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Multi-volume high resolution RGB-D mapping with dynamic volume placement
… high-resolution 3D reconstructions using RGB-D cameras, such as the Microsoft Kinect. We demonstrate how such a technique can be used both for large scale mapping and high-resolution object detection. Our work consists of two core contributions. First, we present an algorithm to generate …
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Improving coarticulation performance of 3D avatar and gaze estimation using RGB webcam
… 3D avatar and gaze estimation using a single RGB camera. The first application aims to help patients, especially those with poor health and low medical literacy, to understand messages delivered by patient portal systems by enhancing the messages with a 3D avatar. The avatar is built from real …
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Building rearticulable models for 3D articulated objects from multi-view RGB videos
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Using artificial intelligence to predict NDVI/NDRE from standard RGB aerial imagery
The student, Corey Davidson, submitted this Thesis for approval on 2021-07-05 at 17:13.
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Real-time large object category recognition using robust RGB-D segmentation features
… efficiently do unsupervised segmentation of an RGB-D image in a way that is consistent across wide viewpoint and scale variance, and creating features from the resulting segments. The second part of this thesis explores how to do robust data association to keep temporally consistent segments …
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Markerless movement analysis based on RGB and Depth sensor Technology for clinical applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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Text-Guided Image-to-Image Translation for Converting RGB Maps to Tactile Images
… a novel approach to generate tactile maps from RGB maps using text-guided image-to-image translation. By leveraging natural language prompts, the method enables control over map details, such as lakes, rivers, and cities, allowing outputs to be tailored to specific needs. A custom dataset of …
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Grape yield estimation in commercial vineyards using artificial intelligence, image analysis, and proximal RGB sensing
… y visión por computador con sensores proximales RGB ofrece un enfoque no invasivo, rápido y objetivo para superar estas limitaciones en condiciones reales de campo. El objetivo de esta Tesis fue estimar el rendimiento en viñedos comerciales mediante inteligencia artificial, análisis de imágenes y …
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