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  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
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    of Master of Science in Computer Science presented on December 7, 2018. Title: Adaptive Wing Loss

  • Analysis of bio-based composites for image segmentation with the aid of games

    Creator:
    Inouye, Jennifer A.
    Abstract:
    A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...
    Resource Type:
    Masters Thesis
    Full Text:
    testing of the computer vision algorithm, which we can use to track the area and volume of these

  • Learning affinities of exemplar videos for multi-view action recognition

    Creator:
    Roy, Anirban
    Abstract:
    This thesis addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition is to recognize a class of human actions in a given video. Action recognition has a wide range of applications, including automated surveillance, sports video analysis, internet-based searches etc. The main challenge is...
    Resource Type:
    Masters Thesis
    Full Text:
    addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition

  • Three dimensional dynamic video position sensing

    Creator:
    Jansky, L. Andrew
    Abstract:
    A comprehensive system to locate and track objects in two or three dimensional space, using non-contact video sensing techniques is described. The need exists to be able to quantify range and proximity of objects that would be difficult or impossible to measure using standard contact based sensor technology. Available video...
    Resource Type:
    Masters Thesis
    Full Text:
    . Extensive product research led to the assembly of a computer vision system that can achieve the project

  • Computer vision for geometrical analysis of bridge gusset plates

    Creator:
    Varakantham, Shravya
    Abstract:
    Gusset plates are an important component of bridges. They are thick sheets of steel that join steel members together using fasteners and also strengthen their joint. Transportation agencies regularly evaluate and rate their inventories of gusset plate connections using visual inspection, which is very costly. To address this issue, we...
    Resource Type:
    Masters Thesis
    Full Text:
    October 24, 2014. Title: Computer Vision for Geometrical Analysis of Bridge Gusset Plates. Abstract

  • Offensive Direction Inference in Real-World Football Video

    Creator:
    Lu, Qingkai
    Abstract:
    Automatic analysis of American football videos can help teams develop strategies and extract patterns with less human effort. In this work, we focus on the problem of automatically determining which team is on offense/defense, which is an important subproblem for higher-level analysis. While seemingly mundane, this problem is quite challenging...
    Resource Type:
    Masters Thesis
    Full Text:
    of computer vision, which aims at automatically analysing ongoing events and their contexts from

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
    Resource Type:
    Masters Thesis
    Full Text:
    in computer vision, that of semantic labeling of images. Our work is aimed at object detection in

  • A study of methods for fine-grained object classification of arthropod specimens

    Creator:
    Lin, Junyuan
    Abstract:
    Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, evaluation and analysis of learning algorithms for fine- grained...
    Resource Type:
    Masters Thesis
    Full Text:
    Object categorization is one of the fundamental topics in computer vision research. Most current work in

  • Don't Fool Me : Detecting Adversarial Examples in Deep Networks

    Creator:
    Li, Xin
    Abstract:
    Deep learning has greatly improved visual recognition in recent years. However, recent research has shown that there exist many adversarial examples that can negatively impact the performance of such an architecture. Different from previous perspectives that focus on improving the classifiers to detect the adversarial examples, this work focuses on...
    Resource Type:
    Masters Thesis
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    work such as [10], however has never quite been applied in computer vision because of the immensely

  • Region based image matching for 3D object recognition

    Creator:
    Liu, Tian
    Abstract:
    3D object recognition is a very difficult and important problem in computer vision, arising in a wide range of applications. Typically in 3D object recognition, interest points are extracted from images and then matched. A shortcoming of this approach is that points only carry local visual information. Therefore, there could...
    Resource Type:
    Masters Thesis
    Full Text:
    problem in computer vision, arising in a wide range of applications. Typically in 3D object recognition