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 13 of 13 for “"Training Image"”.
-
BUILDING A BETTER TRAINING IMAGE WITH DIGITAL OUTCROP MODELS: THESE GO TO ELEVEN
… heterogeneity upon which MPS relies, that is the Training Image (TI). Attempting to increase realism captured in TIs, a quantitative outcrop analog-based approach utilizing terrestrial lidar and high-resolution, calibrated digital photography is combined with lithofacies analysis to produce TIs. …
-
Stochastic inversion of seismic data by implementing image quilting to build a litho-facies model for reservoir characterization of Delhi field, LA
… new stochastic inversion approach along with an image reconstruction method is implemented to build a litho-facies model with a focus on Delhi Field, LA. The field is under CO2 injection as an enhanced oil recovery (EOR) method. This makes it critical to define the CO2 flow paths and flow baffles …
-
Adaptive restoration of text images containing touching and broken characters
… are essential. However, distortions in document images cause character recognition errors, thereby, reducing the accuracy of OCR systems. In document images, most OCR errors are caused by broken and touching characters. This thesis presents an adaptive system to restore text images distorted by …
-
Self-supervised Learning of Monocular Depth from Video
Image-based depth estimation as a fundamental problem in computer vision allows for understanding the scene geometry using only cameras. This thesis addresses the specific problem of monocular depth estimation via self-supervised learning from RGB-only videos. Although existing work has shown …
-
Image sense disambiguation : a multimodal approach
… thousand words, can a thousand words be worth a training image? Most successful object recognition algorithms require manually annotated images of objects to be collected for training. The amount of human effort required to collect training data has limited most approaches to the several hundred …
-
Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods
… of a MPS algorithm is that it relies on a training image and through the use of multiple training images spatial uncertainties in subsurface flow problems are addressed. Methods for global uncertainty and sensitivity analysis (UA/SA) are mainly based on the Monte Carlo approach. In these …
-
On the spatial modelling of mixed and constrained geospatial data
… the situation where a large and representative training image is not available or difficult to build. Approaches to geostatistical simulation of regionalized compositions consisting of several populations are explored and investigated. The multi-population characteristic is usually related to a …
-
Segregation similarity loss in morphological ranking of image search in histopathology
… cancers types, and the large size of Whole Slide Images (WSIs), the analysis of histopathology images is challenging. To come up with this challenge, AI algorithms, such as deep learning (DL) are used to automate image analysis efficiently and accurately. In this study, some DL methods are …
-
Modellbasierte posen- und mimikinvariante Gesichtserkennung
… a sophisticated pre-processing of general facial images is introduced which is capable of transforming a general facial image into a norm-face image using a model-based normalization approach. For generating the norm-face image the size and the position of the face is determined using an …
-
Radiation Dose Estimation for Pediatric Patients Undergoing Cardiac Catheterization
… of personalized patient dosimetry, clinician training, image quality studies and radiation-associated health effect research.</p>
-
Fine-grained visual comparisons
… comparisons, or relative attributes. Given two images, we want to predict which exhibits a particular visual attribute more than the other. Specifically, I explore the scenario where the images exhibit subtle -- thus fine-grained -- visual differences. I propose improvements on two fronts, …
-
The utility of synthetic images for face modelling and its applications
… face models and has been used in several facial image analysis based applications. This 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 …
-
The utility of synthetic images for face modelling and its applications
… face models and has been used in several facial image analysis based applications. This 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 …