Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Curious George: An attentive semantic robot
Robotics and Autonomous Systems
A Method of Landmark Visual Tracking for Mobile Robot
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Visual assistance to an advanced mechatronic platform for pick and place tasks
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
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In the last decade, pattern recognition tasks have flourished and become one of the most popular tasks in computer vision. A wealth of research focused on building vision systems capable of recognizing objects in cluttered environments. Moreover industries address all their efforts to developing new frameworks for assisting people in everyday life. The need of robots working closely to human beings in domestic workplaces, makes a necessity the usage of intelligent sensorial systems that are able to find patterns and provide their location in the working space. In this paper a novel method able to recognize objects in a scene and provide their spatial information is presented. Furthermore, we investigate how SIFT could expand for the purposes of location assignment of an object in a scene.