Optimization of position and pose estimation by using Epipolar line segmentation optimization BA algorithm

Author(s):  
Chen Weili ◽  
Hou Rongbo ◽  
Allam Maalla
2003 ◽  
Vol 15 (3) ◽  
pp. 293-303
Author(s):  
Haiquan Yang ◽  
◽  
Nobuyuki Kita ◽  
Yasuyo Kita

A method is proposed to correct the initial position and pose estimates of a camera-head by aligning a 3D model of its surrounding environment with an observed 2D image that is captured by a foveated wideangle lens in the camera. Because of the wide field of view of the lens, the algorithm can converge even when the initial error is large, and the precision of the result is high since the resolution of the fovea of the lens is high.


2018 ◽  
Vol 15 (1) ◽  
pp. 172988141775369 ◽  
Author(s):  
Xin Ma ◽  
Junbing Feng ◽  
Yibin Li ◽  
Jindong Tan

Nuts and bolts are common components in assembly lines. Their position and pose estimation is a vital step for automatic assembling. Although many approaches using a monocular camera have been proposed, few works consider a monocular camera’s active movements for improving estimation accuracy. This article presents an active movement strategy for a monocular eye-in-hand camera for high position and pose estimation accuracy of a spatial circle. Extensive experiments are conducted to validate the effectiveness of the proposed method for position and pose estimation of circles printed on paper, real circular flat washers, and nuts.


2008 ◽  
Vol 2008 (0) ◽  
pp. _2P1-H17_1-_2P1-H17_4
Author(s):  
Kenri KODAKA ◽  
Haruhiko NIWA ◽  
Yoshihiro SAKAMOTO ◽  
Yuki KANEMORI ◽  
Shigeki SUGANO

Sign in / Sign up

Export Citation Format

Share Document