Research on Corner Detection Algorithm Based on the Long Depth of Field Binocular Camera with Wavefront Coding

Optik ◽  
2021 ◽  
pp. 168306
Author(s):  
Qinxiao Liu ◽  
Rui Zhang ◽  
Fang Wang ◽  
Chaoyuan Ding ◽  
Dongxia Hu
Keyword(s):  
Detection Algorithm ◽  
Corner Detection ◽  
Depth Of Field ◽  
Wavefront Coding

An Improved Corner Detection Algorithm Based on Harris

2018 ◽  
Author(s):  
Songqi Han ◽  
Weibo Yu ◽  
Hongtao Yang ◽  
Shicheng Wan
Keyword(s):  
Detection Algorithm ◽  
Corner Detection

Improved corner detection algorithm based on SUSAN principle

2007 ◽  
Author(s):  
Desen Yin ◽  
Yuejin Zhao ◽  
Bin Wang ◽  
Qian Song ◽  
Rongrong Cheng
Keyword(s):  
Detection Algorithm ◽  
Corner Detection

Alleviating image artifacts in wavefront coding extended depth of field imaging system

2019 ◽  
Vol 436 ◽  
pp. 232-238
Author(s):  
Xutao Mo ◽  
Tao Zhang ◽  
Bin Wang ◽  
Xianshan Huang ◽  
Cuifang Kuang ◽  
...  
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Image Artifacts ◽  
Wavefront Coding ◽  
Extended Depth Of Field ◽  
Field Imaging

scholarly journals A Corner Detection Algorithm Based on Regional Center of Mass in Imaging through Water Surface

2021 ◽  
Vol 2083 (3) ◽  
pp. 032090
Author(s):  
Changli Mai ◽  
Bijian Jian ◽  
Yongfa Ling
Keyword(s):  
Water Surface ◽  
Center Of Mass ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Random Fluctuation ◽  
False Detection ◽  
Detection Algorithms ◽  
Regional Center ◽  
Underwater Environment ◽  
Active Imaging

Abstract Structural light active imaging can obtain more information about the target scene, which is widely used in image registration,3D reconstruction of objects and motion detection. Due to the random fluctuation of water surface and complex underwater environment, the current corner detection algorithm has the problems of false detection and uncertainty. This paper proposes a corner detection algorithm based on the region centroid extraction. Experimental results show that, compared with the traditional detection algorithms, the proposed algorithm can extract the feature point information of the image in real time, which is of great significance to the subsequent image restoration.

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