Building Detection from Mobile Phone Imagery Using Informative SIFT Descriptors

Gerald Fritz, Christin Seifert, Manish Kumar, Lucas Paletta

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    We propose reliable outdoor object detection on mobile phone imagery from off-the-shelf devices. With the goal to provide both robust object detection and reduction of computational complexity for situated interpretation of urban imagery, we propose to apply the 'Informative Descriptor Approach' on SIFT features (i-SIFT descriptors). We learn an attentive matching of i-SIFT keypoints, resulting in a signi cant improvement of state-of-the-art SIFT descriptor based keypoint matching. In the online learning stage, rstly, standard SIFT responses are evaluated using an information theoretic quality criterion with respect to object semantics, rejecting features with insufficient conditional entropy measure, producing both sparse and discriminative object representations. Secondly, we learn a decision tree from the training data set that maps SIFT descriptors to entropy values. The key advantages of informative SIFT (i-SIFT) to standard SIFT encoding are argued from observations on performance complexity, and demonstrated in a typical outdoor mobile vision experiment on the MPG-20 reference database.
    Original languageEnglish
    Title of host publicationImage Analysis
    Subtitle of host publication14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings
    EditorsHeikki Kalviainen, Jussi Parkkinen, Arto Kaarna
    Place of PublicationBerlin, Heidelberg
    Number of pages10
    ISBN (Electronic)978-3-540-31566-7
    ISBN (Print)978-3-540-26320-3
    Publication statusPublished - 1 Jun 2005
    Event14th Scandinavian Conference on Image Analysis, SCIA 2005 - Joensuu, Finland
    Duration: 19 Jun 200522 Jun 2005
    Conference number: 14

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference14th Scandinavian Conference on Image Analysis, SCIA 2005
    Abbreviated titleSCIA


    • Object Recognition
    • Object Detection
    • Object Representation
    • Scale Invariant Feature Transform
    • Local Descriptor


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