47.2: Novel Measurement Method of Bright-Light Contrast Ratio Based on Binocular Vision

2013 ◽  
Vol 44 (1) ◽  
pp. 652-655
Author(s):  
Karlheinz Blankenbach ◽  
Andrej Sycev
2011 ◽  
Vol 12 (2) ◽  
pp. 85-87
Author(s):  
Dongwook Choi ◽  
Sun A Yang ◽  
Jaewoo Bae ◽  
Seungbae Lee ◽  
Ho-Kyoon Chung

2015 ◽  
Vol 18 (5) ◽  
pp. 459-471 ◽  
Author(s):  
Xinzhuang Cui ◽  
Xinglin Zhou ◽  
Junjie Lou ◽  
Jiong Zhang ◽  
Maoping Ran

2010 ◽  
Vol 455 ◽  
pp. 335-339
Author(s):  
S.G. Yang ◽  
Hang Li ◽  
Yu Jun Xue ◽  
H.L. Zhu ◽  
Ji Shun Li

Position and pose measurement is an important issue in the field of robot navigation, operation and assembly as well as other fields such as photogrammetry, computer vision, computer graphics and other disciplines. The micro-table as a machine tool, one of the key components for improving the processing quality of the product plays a particularly role. However, in certain circumstances, we could not continuously and steady proceed relying on the naked eye when precisely and rapidly measure the small size, color matching and identification and so on, and the existing detection methods are difficult to balance the contradiction between the speed and accuracy. This paper puts forward a measurement method of detection 6-dof micro-table position and pose based on binocular vision. Using two CCD cameras measure 2D micro-table coordinates of the four corners of points from different angles, by coordinates transformation, we can calculate the 3D coordinates of the four corners of points; then we can solve the micro-table position and pose with the four corners of points.


2012 ◽  
Vol 239-240 ◽  
pp. 717-720
Author(s):  
Pan Li He ◽  
Wen Lin Liu

For the existed river channel terrain measurement method defects such as complex measurement process and high performance equipments requirement, in the paper a terrain measurement method based on binocular vision is proposed. Firstly, in proposed system binocular vision measurement parameters are calculated on the basis of monocular calibration; secondly, artificial signs are located in river channel and detected based on improved Harris corners detection algorithm; thirdly, the feature corners in binocular images are matched based on epipolar constraint and SIFT algorithm; finally, for corrected images feature corners location method is proposed, and the river channel terrain is measured. Experiments show that in the proposed method the river channel terrain can be measured accurately, and the method has good reference value to measure other irregular scenes.


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