A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot
Proceedings of the 5th international conference on Multimodal interfaces
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A fast evaluation criterion for the recognition of occluded shapes
Robotics and Autonomous Systems
A Software Platform for Component Based RT-System Development: OpenRTM-Aist
SIMPAR '08 Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Robust camera pose and scene structure analysis for service robotics
Robotics and Autonomous Systems
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General, robots obtain poses of target objects by matching the images of the observed objects with data in database. However, the process of matching images costs so long time that robot's action become slow. In order to shorten response time for robots searching target objects, we propose a method for robots to obtain information of poses of observed objects by calculating corner points of barcodes on the objects. Since information in a barcode is less than the one in an image, the method can help robot rapidly obtain the information of its target objects. Furthermore, in order to reuse the method in other robot systems, we create a RT-Component(RTC) to realize the method.