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 20 of 48 for “"Synthetic Images"”.
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Efficient rendering of synthetic images
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Using synthetic images to improve iris biometric performance
… examines the feasibility of using 3D software to synthetically dilate the pupils of existing iris images to more closely match the size of a target image. Methods are developed first to evaluate the compatibility of synthetic images with iris identification software, and then to examine what …
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Uncertainty-Inclusive Contrastive Learning for Leveraging Synthetic Images
… the fact that the quality of generated images varies across different domains, datasets, and methods of generation. Using poor-quality images can hurt learning performance. In this work, we present Uncertaininclusive Contrastive Learning (UniCon), a novel contrastive loss function that …
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The utility of synthetic images for face modelling and its applications
… thesis investigates in detail the utility of synthetically generated facial images for face modelling and its applications, such as facial performance transfer and pose-invariant face recognition, with a particular focus on AAM. Beginning with a detailed overview of the AAM framework, an …
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The utility of synthetic images for face modelling and its applications
… thesis investigates in detail the utility of synthetically generated facial images for face modelling and its applications, such as facial performance transfer and pose-invariant face recognition, with a particular focus on AAM. Beginning with a detailed overview of the AAM framework, an …
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Large databases of real and synthetic images for feature evaluation and prediction
… image regularities to capture structure in images both locally, using a patch around an interest point, and globally, over the entire image. Image features need to be distinctive and robust toward variations in scene content, camera viewpoint and illumination conditions. Common tasks are …
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Generative Adversarial Network (GAN) for Medical Image Synthesis and Augmentation
… the difficulty to access well-annotated medical images becomes one of the main constraints on further improving this technology. Generative adversarial network (GAN) is a DNN framework for data synthetization, which provides a practical solution for medical image augmentation and translation. In …
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View synthesis for depth from motion 3D x-ray imaging.
… of replacing some of the X-ray sensor views with synthetic images. If sufficiently high quality synthetic images can be generated then intermediary X-ray sensors can be removed to minimise the hardware requirements and improve the commercial viability of the KDEX technique. Existing image …
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Visual Representation Learning from Synthetic Data
… depends on the quality and quantity of data. Synthetic data presents unique advantages in terms of flexibility, scalability, and controllability. Recent advances in generative modeling have enabled the synthesis of photorealistic images and high-quality text, drastically increasing the …
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Defending Against Misuse of Synthetic Media: Characterizing Real-world Challenges and Building Robust Defenses
… models have enabled the generation of realistic synthetic media or deepfakes, including synthetic images, videos, and text. However, synthetic media can be misused for malicious purposes and damage users' trust in online content. This dissertation aims to address several key challenges in …
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Procedural synthetic data for self-driving cars using 3D graphics
… configurable system for procedurally generating synthetic data for self-driving vehicles. To address the problem of data hungry vision-based learning algorithms used in self-driving vehicles, we develop a system that generates synthetic images, including class level annotations, of street scenes. …
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Generated Image Quality Assurance and Generative Adversarial Network Augmentation for Machine Learning
… optimizing hyperparameters, and detecting fake images generated by GANs, aiming to enhance the robustness and eliability of machine learning models. This work presents a collection of metrics for measuring data quality for both structured and unstructured data. Furthermore, it defines data …
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Visual tasks beyond categorization for training convolutional neural networks
… position, size and pose, respectively, from synthetic images and tested on unseen held-out objects. First, we show that some object properties come "for free" from learning others, and pose-optimized model can generalize to both categorical and non-categorical variables. Second, we …
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Synthetic aperture imaging for three dimensional resolution of fluid flows
… and beyond. The imaging system is based upon synthetic aperture (SA) imaging, which has received much attention in the computer vision community recently. In focus images from an array of synchronized cameras are recombined in software post-capture using a refocusing algorithm to generate a …
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Morphological granulometry for texture analysis
… thesis concerns the analysis of digital texture images, using techniques from mathematical morphology and regression modelling for the classification of texture images. It investigates the use of granulometric moments, arising from the morphological pattern spectrum, as texture descriptors to …
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Using Generative Adversarial Networks to Classify Structural Damage Caused by Earthquakes
… volunteers to efficiently filter and tag these images with meaningful damage information. There are several solution to automate post-earthquake reconnaissance image tagging using Machine Learning (ML) solutions to classify each occurrence of damage per building material and structural member …
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Narration of light : computational tools for framing the tonal imagination
… of light reveals the architectural space. And images depict them. This thesis proposes a computational model for evaluating tonal and compositional qualities of photorealistically rendered synthetic images. Its aim is to assist the architects to quickly externalize their spatial imagination …
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Image analysis for a mobile phone-based assessment of latent tuberculosis infection
… of a user interface for capturing induration images and a backend processing system that produces a threedimensional reconstruction of the induration for measurement. Recommendations from previous studies on the prototype screening tool, which involved evaluation of the mobile application …
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RGB-D Likelihood for 3D Inverse Graphics
… 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 showcase …
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Critical Issues in the Processing of cDNA Microarray Images
… data. Data is gathered by processing scanned images of microarray slides. Therefore robust image processing is particularly important and has a large impact on downstream analysis. The processing of the scanned images can be subdivided in three phases: gridding, segmentation and data …
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