A Fast Pose Estimation Method of Four-Rotor Aircraft

2014 ◽  
Vol 599-601 ◽  
pp. 1169-1173
Author(s):  
Cheng Da Xu ◽  
Hong Xu Ma
Keyword(s):  
Pose Estimation ◽  
Estimation Method ◽  
Corner Detection ◽  
Fast Method ◽  
Harris Corner ◽  
Corner Points ◽  
Hardware Processing ◽  
Processing Platform ◽  
Harris Corner Detection ◽  
Gray Values

In order to solve the inaccuracy and slowness of four-rotor aircraft pose estimation, a fast method is proposed. It uses FPGA+DSP as the hardware processing platform to reduce the overhead time and adopts the theory of Harris corner detection to gain the corner points’ coordinate and gray values. Then the pose of four-rotor aircraft can be calculated. The result of experiment shows that the method could estimate the pose of four-rotor aircraft accurately.

scholarly journals Implementation of Harris Corner Detection Algorithm for Volumetric Images

2018 ◽  
pp. 18-22
Author(s):  
Ceyda Nur Ozturk ◽  
Songul Albayrak
Keyword(s):  
Three Dimensional ◽  
Scale Space ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Sample Object ◽  
Harris Corner ◽  
Corner Points ◽  
Volumetric Images ◽  
Third Dimension ◽  
Harris Corner Detection

More effective detection of corner points in three dimensional (3-D) volumetric images can be possible through expansion of Harris corner detection algorithm, which run in two dimensional (2-D) images, into third dimension. In this study, the standard algorithm of Harris that detected corner points in 2-D slices and its 3-D version were implemented in the scale-space to determine the corner points of volumetric object images. The results obtained in sample object images with 2-D and 3-D methods that used different approaches for scale-space construction were qualitatively assessed.

An Improved Harris Corner Detection Algorithm for Noised Images

2012 ◽  
Vol 433-440 ◽  
pp. 6151-6156 ◽  
Author(s):  
Xin Zhang ◽  
Xiu Hua Ji
Keyword(s):  
Image Registration ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Corner Detection ◽  
Detection Accuracy ◽  
Image Mosaic ◽  
Harris Corner ◽  
Noise Impact ◽  
Corner Points ◽  
Harris Corner Detection

The Harris corner detection algorithm is widely applied in image mosaic, which is simple and stable. However, the algorithm has a disadvantage that it obtains a lot of false corners when there exist some noise in an image. An improved Harris corner detection algorithm is proposed in this paper. The new algorithm reduces the noise impact greatly. The experimental results show that the improved algorithm not only reduces false corner points greatly, but also retain the majority of true corners. As a result, it improves the detection accuracy and reduces the chance of error matching in image registration.

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