scholarly journals Geometric Correction Method Using Active 3D Measurement with Diffraction Grating Laser and Its Application to Palmprint Recognition

2015 ◽  
Vol 69 (9) ◽  
pp. J261-J270
Author(s):  
Takuto Sato ◽  
Shoichiro Aoyama ◽  
Shuji Sakai ◽  
Shusaku Yusa ◽  
Koichi Ito ◽  
...  
Keyword(s):  
Diffraction Grating ◽  
Correction Method ◽  
Palmprint Recognition ◽  
3D Measurement ◽  
Geometric Correction

Error Analysis and Compensation in Images Stitching for the Mechanically Stitched CCD Aerial Cameras

2019 ◽  
Vol 33 (09) ◽  
pp. 1955012
Author(s):  
Haipeng Kuang ◽  
Lina Zheng ◽  
Guoqin Yuan ◽  
Jianjun Sun ◽  
Zhuang Zhang
Keyword(s):  
Attitude Change ◽  
Correction Method ◽  
Monte Carlo Algorithm ◽  
Image Motion ◽  
Image Mosaic ◽  
Geometric Correction ◽  
Ccd Imaging ◽  
Imaging Model ◽  
Orientation System ◽  
Relationship Of

Image misalignment during image stitching is a common issue for the mechanically stitched CCDs in the aerial cameras due to the relative image motion between CCDs. In this paper, we analyze the error in imaging stitching for the mechanically stitched CCDs and propose a compensation method based on position and orientation system (POS). First, the imaging relationship of overlapping pixels in mechanical stitching is analyzed. The imaging model of adjacent CCD is constructed according to the collinear equation. The effects of stitching staggered distance, carrier attitude change and flight speed on the image mosaic of overlapping areas are given. Monte Carlo algorithm is used to analyze the statistical value of image mosaic error in overlapping area under typical working conditions. Then, a geometric correction method based on POS recording of external orientation elements of adjacent CCD imaging is proposed. The overlapping area stitching error is reduced from 14.9 pixels to 0.4 pixels which meets the engineering requirements. The mechanical stitching mathematical model, analysis and correction method established in this paper have strong engineering and application significance for mechanical stitching of aerial cameras.

Projection Geometric Correction for Screen Pattern

2012 ◽  
Vol 263-266 ◽  
pp. 2414-2417
Author(s):  
Cheng Han ◽  
Jing Tao Fan ◽  
Zhen Gang Jiang
Keyword(s):  
Three Dimensional ◽  
Correction Method ◽  
Geometric Correction ◽  
Research Focus ◽  
Projection System ◽  
Projected Image ◽  
Projection Screen ◽  
Irregular Free Surface ◽  
Three Dimensional Coordinate ◽  
Screen Surface

In the projection system, the projected image should be able to meet the normal visual needs of observer, so that the viewer can get the correct projection. When the projection screen surface is the irregular free surface, the projection geometric correction of the projected image becomes the research focus. For the question of irregular projection screen surface, this paper presents effective geometric correction method. The geometric correction method based on the geometry of irregular projection screen surface and ideal location of viewport to calculate the points’ three-dimensional coordinate values. In this paper, the projection geometric correction method is widely applicable to various projection screen surface environments.

Efficient High-Precision Feature Extraction Method in Side Scan Sonar Image

2014 ◽  
Vol 678 ◽  
pp. 197-200 ◽  
Author(s):  
Lei Peng
Keyword(s):  
Data Processing ◽  
Correction Method ◽  
Geometric Correction ◽  
Processing Efficiency ◽  
Side Scan Sonar ◽  
Feature Extraction Method ◽  
Sonar Image ◽  
Data Processing Software ◽  
Data Production ◽  
Processing Software

Side scan sonar image has disadvantages such as low-resolution, poor image quality, random factors’? disturbance, these disadvantages cause the sonar image less visual perception, poor readability and many other shortcomings. In this paper, geometric correction method and image processing technology were studied, and also a data processing software was developed to improve the side scan sonar data processing from two aspects of data production accuracy and processing efficiency.

Geometric correction method of rotary scanning hyperspectral image in agriculture application

2015 ◽  
Author(s):  
Peng Wan ◽  
Guijun Yang ◽  
Bo Xu ◽  
Haikuan Feng ◽  
Haiyang Yu
Keyword(s):  
Hyperspectral Image ◽  
Correction Method ◽  
Geometric Correction
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