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- Title
Logo localization and recognition in natural images using homographic class graphs.
- Authors
Boia, Raluca; Florea, Corneliu; Florea, Laura; Dogaru, Radu
- Abstract
We propose a method for localization and classification of brand logos in natural images. The system has to overcome multiple challenges such as perspective deformations, warping, variations of the shape and colors, occlusions, background variations. To deal with perspective variation, we rely on homography matching between the SIFT keypoints of logo instances of the same class. To address the changes in color, we construct a weighted graph of logo interconnections that is further analyzed to extract potentially multiple instances of the class. The main instance is built by grouping the keypoints of the graph connected logos onto the central image. The secondary instance is needed for color inverted logos and is obtained by inverting the orientation of the main instance. The constructed logo recognition system is tested on two databases (FlickrLogos-32 and BelgaLogos), outperforming state of the art with more than 10 % accuracy.
- Subjects
LOGOS (Symbols); INDOOR positioning systems; HOMONYMS; GRAPH theory; INTEGRATED circuit interconnections
- Publication
Machine Vision & Applications, 2016, Vol 27, Issue 2, p287
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-015-0741-7