Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automated location matching in movies
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Robust Object Recognition Using Wide Baseline Matching for RoboCup Applications
RoboCup 2007: Robot Soccer World Cup XI
Applying SIFT Descriptors to Stellar Image Matching
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
A fast probabilistic model for hypothesis rejection in SIFT-Based object recognition
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
FPGA-based module for SURF extraction
Machine Vision and Applications
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In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection system, which is the main component of a robot gaze direction determination system. Gaze direction determination of robots is an important ability to be developed. It can be used for enhancing cooperative and competitive skills in situations where the robots interacting abilities are important, as for example, robot soccer. Experimental results of the implemented robot-head detection system are presented.