Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Kinematic Analysis of Robot Manipulators
Kinematic Analysis of Robot Manipulators
ROVIS: robust machine vision for service robotic system FRIEND
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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In this paper, a novel and simple approach for tracking the object pose, position and orientation, using two object points when the object is rotated about one of the axes of the reference coordinate system is presented. The object rotation angle can be tracked up to a range of 180? for object rotations around each axis of the reference coordinate system from an initial object situation. The considered two object points are arbitrary points of the object which can be uniquely identified in stereo images. Since the approach requires only two object points, it is advantageous for the robotic applications where very few feature points can be obtained because of lack of pattern information on the objects. The paper also presents the results for the pose estimation of a meal tray in a rehabilitation robotics environment.