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A Camera Pose Estimation Method for Rectangle Feature based Visual SLAM
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 Title & Authors
A Camera Pose Estimation Method for Rectangle Feature based Visual SLAM
Lee, Jae-Min; Kim, Gon-Woo;
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 Abstract
In this paper, we propose a method for estimating the pose of the camera using a rectangle feature utilized for the visual SLAM. A warped rectangle feature as a quadrilateral in the image by the perspective transformation is reconstructed by the Coupled Line Camera algorithm. In order to fully reconstruct a rectangle in the real world coordinate, the distance between the features and the camera is needed. The distance in the real world coordinate can be measured by using a stereo camera. Using properties of the line camera, the physical size of the rectangle feature can be induced from the distance. The correspondence between the quadrilateral in the image and the rectangle in the real world coordinate can restore the relative pose between the camera and the feature through obtaining the homography. In order to evaluate the performance, we analyzed the result of proposed method with its reference pose in Gazebo robot simulator.
 Keywords
Visual SLAM;Geometric Visual Feature;Robot Vision;Pose Estimation;
 Language
Korean
 Cited by
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