Amrei Knierim

Amrei Knierim

Innsbruck, Tirol, Österreich
516 Follower:innen 500+ Kontakte

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As a Scrum Master and Agile Coach, my approach is driven by a strong belief in two…

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Veröffentlichungen

  • Influence of Image Compression on Cascade Classifier Components

    SISY 2012: 367-371

    Bandwidth restrictions and increasing data volumes in the transmission path of automotive driver assistance systems make video compression unavoidable for future applications. Conventional image compression algorithms are solely tuned for optimal human perception. This paper studies the effect on features used in discriminative cascade classifiers for nighttime pedestrian desection, namely Haar wavelet features, Edge Orientation Histogram features and Standard deviation features. The induced…

    Bandwidth restrictions and increasing data volumes in the transmission path of automotive driver assistance systems make video compression unavoidable for future applications. Conventional image compression algorithms are solely tuned for optimal human perception. This paper studies the effect on features used in discriminative cascade classifiers for nighttime pedestrian desection, namely Haar wavelet features, Edge Orientation Histogram features and Standard deviation features. The induced error is modeled and evaluated for these feature classes. By approximating the noise on specific image feature instances, a re-adaption of the decision boundaries is possible. Knowing about the sensitivity of specific feature classes allows selecting a robust set of features prior to classifier training.

    Andere Autor:innen
    • Raimar Wagner
    • Markus Thom
    • Roland Schweiger
    • Michael Gabb
    • Albrecht Rothermel
  • P.I.A.N.O.: Enhancing Instrument Learning via Interactive Projected Augmentation

    UbiComp (Adjunct Publication) 2013: 75-78

    P.I.A.N.O. aims to support learning to play piano with a steep learning curve. In order to achieve this, traditional, hard-to-learn music notation is substituted for an alternative representation of a composition, which is projected directly onto the piano. Furthermore, we propose three different learning modes which support the natural learning process, incorporate live feedback and performance evaluation, as well as the augmentation of the system with aspects of gamification to achieve early…

    P.I.A.N.O. aims to support learning to play piano with a steep learning curve. In order to achieve this, traditional, hard-to-learn music notation is substituted for an alternative representation of a composition, which is projected directly onto the piano. Furthermore, we propose three different learning modes which support the natural learning process, incorporate live feedback and performance evaluation, as well as the augmentation of the system with aspects of gamification to achieve early experiences of success and prolonged motivation.

    Andere Autor:innen
    • Matthias Weing
    • Katja Rogers
    • Jan Gugenheimer
    • Florian Schaub
    • Bastian Könings
    • Enrico Rukzio
    • Michael Weber

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