Now showing items 1-14 of 14

    • 3D Mesh and Pose Recovery of a Foot from Single Image 

      Boismenu-Quenneville, Frédéric (University of Waterloo, 2022-01-18)
      The pandemic and the major shift to online shopping has highlighted the current difficulties in getting proper sizing for clothing and shoes. Being able to accurately measure shoes using readily available smartphones would ...
    • Anomaly Detection in Textured Surfaces 

      Minhas, Manpreet Singh (University of Waterloo, 2019-12-17)
      Detecting anomalies in textured surfaces is an important and interesting problem that has practical applications in industrial defect detection and infrastructure asset management with a lot of potential financial benefits. ...
    • Automated Cataract Grading using Smartphone Images 

      Nasir zonouzi, Mona (University of Waterloo, 2021-02-02)
      A cataract is an age-related eye disease and is one of the leading ophthalmological public health problems in developed and developing countries. Early detection of cataracts is necessary to preserve sight and prevent the ...
    • Automated Segmentation of Retinal Optical Coherence Tomography Images 

      Roy, Priyanka (University of Waterloo, 2018-08-21)
      Aim. Optical Coherence Tomography (OCT) is a fast and non-invasive medical imaging technique which helps in the investigation of each individual retinal layer structure. For early detection of retinal diseases and the study ...
    • Cancer Classification in Human Brain and Prostate Using Raman Spectroscopy and Machine Learning 

      Pinto, Jeremy (University of Waterloo, 2017-09-27)
      Real-time assisted classification of cancerous and healthy human tissue is useful to surgeons since visual classification of cancer boundaries is almost impossible to the naked eye. Raman spectroscopy can be used to ...
    • Deep Generative Modeling Based Retinal Image Analysis 

      Sengupta, Sourya (University of Waterloo, 2020-06-16)
      In the recent past, deep learning algorithms have been widely used in retinal image analysis (fundus and OCT) to perform tasks like segmentation and classification. But to build robust and highly efficient deep learning ...
    • Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map 

      Lunscher, Nolan (University of Waterloo, 2018-01-02)
      In clothing and particularly in footwear, the variance in the size and shape of people and of clothing poses a problem of how to match items of clothing to a person. This is specifically important in footwear, as fit is ...
    • Developing algorithms for the analysis of retinal Optical Coherence Tomography images 

      Gholami, Peyman (University of Waterloo, 2018-09-04)
      Vision loss, with a prevalence loss greater than 42 million in the United States is one of the major challenges of today's health-care industry and medical science. Early detection of different retinal-related diseases ...
    • Efficient Image-Based Localization Using Context 

      Azzi, Charbel (University of Waterloo, 2015-12-22)
      Image-Based Localization (IBL) is the problem of computing the position and orientation of a camera with respect to a geometric representation of the scene. A fundamental building block of IBL is searching the space of a ...
    • Explainable AI for retinal OCT diagnosis 

      Brar, Amitojdeep Singh (University of Waterloo, 2021-01-20)
      Artificial intelligence methods such as deep learning are leading to great progress in complex tasks that are usually associated with human intelligence and experience. Deep learning models have matched if not bettered ...
    • Multivariate Time Series Data Causal Discovery 

      Chang, Bo Yuan (University of Waterloo, 2021-10-05)
      One of the goals for Artificial Intelligence is to achieve human-like intelligence. To that end, several solutions were proposed over the decades, where causal structure discovery was proposed as a viable tool for enabling ...
    • Municipal Road Infrastructure Assessment Using Street View Images 

      Abou Chacra, David (University of Waterloo, 2016-09-23)
      Road quality assessment is a crucial part in Municipalities' work to maintain their infrastructure, plan upgrades, and manage their budgets. Properly maintaining this infrastructure relies heavily on consistently monitoring ...
    • RGB-D Scene Flow via Grouping Rigid Motions 

      Li, Francis (University of Waterloo, 2016-09-06)
      Robotics and artificial intelligence have seen drastic advancements in technology and algorithms over the last decade. Computer vision algorithms play a crucial role in enabling robots and machines to understand their ...
    • A Unified Hybrid Formulation for Visual SLAM 

      Younes, Georges (University of Waterloo, 2021-02-16)
      Visual Simultaneous Localization and Mapping (Visual SLAM (VSLAM)), is the process of estimating the six degrees of freedom ego-motion of a camera, from its video feed, while simultaneously constructing a 3D model of the ...

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