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Filtering by: Creator Dale, A. C. Remove constraint Creator: Dale, A. C. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Subject Computer vision Remove constraint Subject: Computer vision

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  • 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:
    costly. To address this issue, we have developed a new interactive software tool, called Gusset Plate

  • 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:
    as strands going in the same direction located in the same area. (c) This is a single layer of the

  • 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:
    candidate labelings, and then applies a cost function (C) to select the best- scoring prediction among the

  • Object highlighting : real-time boundary detection using a Bayesian network

    Creator:
    Jia, Jin
    Abstract:
    Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
    Resource Type:
    Masters Thesis
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    image. (b) Tobogganing of the image. (c) Tobogganing regions in a small zoomed area. The colored lines

  • 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
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    accuracy. c©Copyright by Junyuan Lin February 18, 2013 All Rights Reserved A Study of Methods for

  • Robust and Efficient Classification of Videos in the Wild

    Creator:
    Mahasseni, Behrooz
    Abstract:
    Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
    Resource Type:
    Dissertation
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    actions in videos is a long-standing problem in computer vision with a wide range of applications

  • Fine-grained detection and localization of objects in images

    Creator:
    Feng, Yaofei
    Abstract:
    Object recognition is a fundamental problem in computer vision. Recognition is required by many applications. This thesis presents a distance based approach to recognize objects. We are interested in objects that belong to very similar classes, where each class has large variations. This problem is called fine-grained object recognition. Given...
    Resource Type:
    Masters Thesis
    Full Text:
    a fundamental problem in computer vision. Recognition is required by many applications. This thesis

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    -level computer vision algorithms that each accomplish a different sub-task within a larger system for

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    which is depicted as in Figure 2.1b. (a) Initialization of µ(0). (b) Initialization of ν(0). (c

  • 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