Browsing Systems Design Engineering by Supervisor "Clausi, David"
Now showing items 1-20 of 22
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Computational Depth from Defocus via Active Quasi-random Pattern Projections
(University of Waterloo, 2018-08-22)Depth information is one of the most fundamental cues in interpreting the geometric relationship of objects. It enables machines and robots to perceive the world in 3D and allows them to understand the environment far ... -
Correction Methods for Non-Stationary Noise Floor in Sentinel-1 Images Using Convex Optimization
(University of Waterloo, 2020-09-03)Synthetic aperture radar (SAR) is a method of creating images of the surface of the Earth by emitting and receiving radar waves. Sentinel-1 is a SAR platform made by the European Space Agency (ESA) that provides a source ... -
Data-driven Regularization and Uncertainty Estimation to Improve Sea Ice Data Assimilation
(University of Waterloo, 2019-06-20)Accurate estimates of sea ice conditions such as ice thickness and ice concentration in the ice-covered regions are critical for shipping activities, ice operations and weather forecasting. The need for this information ... -
Deep Image Prior for Disentangling Mixed Pixels
(University of Waterloo, 2022-08-19)A mixed pixel in remotely sensed images measures the reflectance and emission from multiple target types (e.g., tree, grass, and building) from a certain area. Mixed pixels exist commonly in spaceborne hyper-/multi-spectral ... -
Deep Learning Based Building Extraction from High-Resolution Remote Sensing Images
(University of Waterloo, 2022-07-11)Building extraction from remote sensing images is a critical task to support various applications such as cartography, disaster response, and urban planning. The automation of this task is an active research area due to ... -
Deep Learning Based Place Recognition for Challenging Environments
(University of Waterloo, 2016-08-25)Visual based place recognition involves recognising familiar locations despite changes in environment or view-point of the camera(s) at the locations. There are existing methods that deal with these seasonal changes or ... -
Dermal Radiomics: a new approach for computer-aided melanoma screening system
(University of Waterloo, 2016-08-19)Skin cancer is the most common form of cancer in North America, and melanoma is the most dangerous type of skin cancer. Melanoma originates from melanocytes in the epidermis and has a high tendency to develop away from the ... -
Hockey Pose Estimation and Action Recognition using Convolutional Neural Networks to Ice Hockey
(University of Waterloo, 2018-09-19)Human pose estimation and action recognition in ice hockey are one of the biggest challenges in computer vision-driven sports analytics, with a variety of difficulties such as bulky hockey wear, color similarity between ... -
Improving Robustness of Homography Estimation for Ice Rink Registration
(University of Waterloo, 2023-08-28)Hockey analytics involves obtaining information from games so that coaches, managers, and teams can make better decisions in training, playing, and hiring. As there is a large amount of information available in each game, ... -
Issues in Computer Vision Data Collection: Bias, Consent, and Label Taxonomy
(University of Waterloo, 2020-09-30)Recent success of the convolutional neural network in image classification has pushed the computer vision community towards data-rich methods of deep learning. As a consequence of this shift, the data collection process ... -
Learning to Estimate Sea Ice Concentration from SAR Imagery
(University of Waterloo, 2016-09-28)Through the growing interest in the Arctic for shipping, mining and climate research, large-scale high quality ice concentration is of great interest. Due to the unavailability of suitable ice concentration estimation ... -
Mixture Regression for Sea Ice Segmentation
(University of Waterloo, 2022-12-23)The classification of sea ice in SAR imagery is complicated by statistical nonstationarity. Incidence angle effects, heterogeneous ice conditions and other confounding variables contribute to spatial and temporal variability ... -
Model Compression via Generalized Kronecker Product Decomposition
(University of Waterloo, 2022-09-26)Modern convolutional neural network (CNN) architectures, despite their superiority in solving various problems, are generally too large to be deployed on resource constrained edge devices. In practice, this limits many ... -
Multi-Atlas based Segmentation of Multi-Modal Brain Images
(University of Waterloo, 2016-05-20)Brain image analysis is playing a fundamental role in clinical and population-based epidemiological studies. Several brain disorder studies involve quantitative interpretation of brain scans and particularly require accurate ... -
Novel Motion-Aware Strategies for Efficient and Accurate Video Analytics
(University of Waterloo, 2022-05-05)Recent advances in machine learning strategies have led to improved results across a variety of fields. A field that would benefit greatly from improved machine learning strategies is video analytics: the analysis of video ... -
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling
(University of Waterloo, 2016-06-20)Due to recent advancements in technology, consumer digital cameras are becoming cheaper and easier to use. These consumer digital cameras, with Bayer color filter arrays (CFAs), allow for simultaneous capture of the red, ... -
Projector Compensation for Unconventional Projection Surface
(University of Waterloo, 2018-12-19)Projecting onto irregular textured surfaces found on buildings, automobiles and theatre stages calls for the development of radiometric and geometric compensation algorithms that require no user intervention and compensate ... -
Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data with Fully Convolutional Networks
(University of Waterloo, 2020-09-01)Sea ice concentration is of great interest to ship navigators and scientists who require regional ice cover understanding. Passive microwave data and image analysis charts are typically used to estimate ice concentration, ... -
Simultaneous Multispectral Imaging: Using Multiview Computational Compressive Sensing
(University of Waterloo, 2016-03-03)Multispectral imaging is traditionally performed using a combination of an imaging device with a filter bank such as a filter wheel or a form of tunable filter, or a combination of many imaging devices with various spectral ... -
A Statistical Framework for Non-Contact Heart Rate Estimation via Photoplethysmogram Imaging
(University of Waterloo, 2016-09-01)Although medical progress and increased health awareness over the last 60 years have reduced death rates from cardiovascular disease by more than 75%, cardiovascular disease remains one of the leading causes of death, ...