Feature extraction and calibration for stereo reconstruction using non-SVP optics in a panoramic stereo-vision sensor

2003 ◽  
Author(s):  
M. Fiala ◽  
A. Basu
Keyword(s):  
Feature Extraction ◽  
Stereo Vision ◽  
Vision Sensor ◽  
Stereo Reconstruction

Study of Single Camera Stereo Vision Sensor Based on Plane Mirror Imaging

2014 ◽  
Vol 34 (9) ◽  
pp. 0915002 ◽  
Author(s):  
冯晓锋 Feng Xiaofeng ◽  
潘迪夫 Pan Difu
Keyword(s):  
Stereo Vision ◽  
Single Camera ◽  
Plane Mirror ◽  
Vision Sensor

Novel Calibration Method for Stereo Vision Sensor Using Flexible Target

2013 ◽  
Vol 33 (3) ◽  
pp. 0315001
Author(s):  
刘震 Liu Zhen ◽  
尚砚娜 Shang Yanna
Keyword(s):  
Stereo Vision ◽  
Calibration Method ◽  
Vision Sensor

Structure Design of Single Camera Omnidirectional Stereo Vision Sensor

2016 ◽  
Vol 36 (6) ◽  
pp. 0615002
Author(s):  
宋丫 Song Ya ◽  
柴兴华 Chai Xinghua ◽  
周富强 Zhou Fuqiang
Keyword(s):  
Stereo Vision ◽  
Structure Design ◽  
Single Camera ◽  
Vision Sensor ◽  
Omnidirectional Stereo Vision

A SLAM Model Based on Omni-Directional Vision and Odometer

2011 ◽  
Vol 103 ◽  
pp. 128-133 ◽  
Author(s):  
Yu Quan Wang ◽  
Ying Hong Li
Keyword(s):  
Stereo Vision ◽  
Good Accuracy ◽  
Measurement Model ◽  
Vision Sensor ◽  
Scale Invariant ◽  
New Model ◽  
Model Based ◽  
Invariant Feature ◽  
Feature Transform ◽  
Scale Invariant Feature

A new SLAM measurement model based on omni-directional vision and odometer is proposed in this paper. A virtual stereo vision composed of an omni-directional vision sensor and an odometer. Scale Invariant Feature Transform is used to extract stable and available vision features from the omni-images. The 3-D locations of these features are initialized by the pixel coordinates and the odometer data by stereo projection, and the locations will be corrected during the SLAM process when they are observed again. It is demonstrated that the new model can make a good accuracy with FastSLAM algorithm, and the accuracy is greatly improved corresponding to the classical vision sensor.

scholarly journals Measurement of Circumferential Liquid Film Based on LIF and Virtual Stereo Vision Sensor

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Ting Xue ◽  
Xiaokang Lin ◽  
Liuxiangzi Yang
Keyword(s):  
Liquid Film ◽  
Stereo Vision ◽  
High Speed ◽  
Annular Flow ◽  
Flow Characteristic ◽  
Thickness Distribution ◽  
Flow Characteristics ◽  
Industrial Applications ◽  
Vision Sensor ◽  
Feature Parameters

Gas-liquid annular flow is widely used in many industrial applications such as petroleum, chemical, and nuclear engineering. The feature parameters of liquid film in the annular flow are of great significance to understand the flow characteristics and measure the flow precisely. For the annular flow, the circumferential features of liquid film are more important than the axial features to acquire abundant flow structures and reveal the flow mechanism. In the paper, a measurement platform based on the laser-induced fluorescence (LIF) and virtual stereo vision sensor is presented. The virtual stereo vision sensor comprises a high-speed camera and two optical reflection sets, which can acquire the liquid film from two views simultaneously and reconstruct the features of liquid film. Image processing techniques are proceeded with to extract the feature parameters of liquid film; then the circumferential flow characteristic can be reconstructed by views transformation and fusion. The flow characteristic based on the thickness distribution is analysed. The experimental results show that the method is valid and effective, which can give a more detailed and accurate description for the liquid film in annular flows.

The Comparison of Two Stereo Vision Sensor Calibration Methods

2011 ◽  
Vol 317-319 ◽  
pp. 397-400
Author(s):  
Gang Chen ◽  
Hua Chen ◽  
Yu Bo Guo ◽  
Dong Ye
Keyword(s):  
Stereo Vision ◽  
Nonlinear Distortion ◽  
Calibration Method ◽  
Sensor Calibration ◽  
Vision Sensor ◽  
Calibration Methods ◽  
Hole Model ◽  
Draw Conclusion

This paper presents and comparison two stereo vision sensor calibration methods: Volume template based calibration method and the calibration based on virtual stereo pattern. First method use a premade volume template. Second method use a group of random spatial points that are formed by an infrared LED moved with the probe of CMM. Two methods adopt an ideal pin-hole model that ignores the nonlinear distortion of the cameras. Through compare two calibratioin methods, we can draw conclusion that the first method can be applide to stereo sensor calibration in measurement field and the second method could gain higher calibrating precision.

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