Automated annotation of landmark images using community contributed datasets and web resources
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Enhanced mapping of multi-robot using distortion reducing filter based SIFT
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Object recognition of a mobile robot based on SIFT with de-speckle filtering
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
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An approach of road crossing scene recognition based on scale invariant feature transform (SIFT) and color features is proposed in this paper. Firstly, the SIFT features are extracted and the color histogram in HSI space is calculated. Secondly, the K-D trees algorithm is used to match SIFT features of images in road crossing images database, and Bhattacharyya distance match result is calculated by color histogram. Finally, the SIFT features match result and Bhattacharyya distance match result are combined together to confirm the suitable image in database. The image pre-classified idea is also adopted to accelerate the SIFT features matching. The experiment results demonstrate that the algorithm is robust to the various illumination, dynamic disturbance and self-circumrotating, and can be used to the robot location.