Selection of SIFT feature points for scene description in robot vision

Author(s):  
Yuy ◽  
Masahiro Tsukada ◽  
Hirokazu Madokoro ◽  
Kazuhito Sato
2012 ◽  
Vol 236-237 ◽  
pp. 759-764 ◽  
Author(s):  
Ping Yu ◽  
Bao Guo Dong ◽  
Yu Juan Xue

In video monitoring system of substation, in-process video inspection is used to detect abnormalities and provide corresponding solutions in a timely manner to avoid failures.As the common equipment,electric power tower’s inclination should be detected timely..It was hard to check the fault of tower inclination timely and accurately only by staff’s routine inspection,and it will spent much manpower and material resources by the manner of sensor. A manner of substation video inspection tower inclination angle detection based on SIFT feature matching and OTSU was presented in this paper. The tower inclination angle was calculated through the matched feature points. As is proved in the simulation test, this algorithm features simplicity and it can detect the maximum angle in all case of inclination .


2013 ◽  
Vol 462-463 ◽  
pp. 978-983
Author(s):  
Jiang Zhou Zhang ◽  
Jian Feng Zhang ◽  
Ji Zhong Deng

This paper constructs the picking mechanical hand binocular vision hardware system. Using an internal and external parameters calibration method of separation. In the calibration process, with calibration planar pattern translatory manner, appropriate for extracting feature points in the calibration template, through experiment and calculation to obtain the accurate parameters of camera model; external parameters calibration is a reasonable selection of reference coordinate system, through experimental analysis to obtain the two cameras outside parameter model.


2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Zhong Qu ◽  
Si-Peng Lin ◽  
Fang-Rong Ju ◽  
Ling Liu

The traditional image stitching result based on the SIFT feature points extraction, to a certain extent, has distortion errors. The panorama, especially, would get more seriously distorted when compositing a panoramic result using a long image sequence. To achieve the goal of creating a high-quality panorama, the improved algorithm is proposed in this paper, including altering the way of selecting the reference image and putting forward a method that can compute the transformation matrix for any image of the sequence to align with the reference image in the same coordinate space. Additionally, the improved stitching method dynamically selects the next input image based on the number of SIFT matching points. Compared with the traditional stitching process, the improved method increases the number of matching feature points and reduces SIFT feature detection area of the reference image. The experimental results show that the improved method can not only accelerate the efficiency of image stitching processing, but also reduce the panoramic distortion errors, and finally we can obtain a pleasing panoramic result.


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