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Filtering by: Date 2013 Remove constraint Date: 2013 Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Subject Computer vision Remove constraint Subject: Computer vision

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  • 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

  • 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

  • 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