Abstract
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 language | English |
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Title of host publication | Image Analysis |
Subtitle of host publication | 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings |
Editors | Heikki Kalviainen, Jussi Parkkinen, Arto Kaarna |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 629-638 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-540-31566-7 |
ISBN (Print) | 978-3-540-26320-3 |
DOIs | |
Publication status | Published - 1 Jun 2005 |
Event | 14th Scandinavian Conference on Image Analysis, SCIA 2005 - Joensuu, Finland Duration: 19 Jun 2005 → 22 Jun 2005 Conference number: 14 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Number | 3540 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 14th Scandinavian Conference on Image Analysis, SCIA 2005 |
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Abbreviated title | SCIA |
Country | Finland |
City | Joensuu |
Period | 19/06/05 → 22/06/05 |
Keywords
- Object Recognition
- Object Detection
- Object Representation
- Scale Invariant Feature Transform
- Local Descriptor