Denoise PET Images Based on a Combining Method of EMD and ICA
p.340
p.340
An Improved C-Means Clustering for Image Segmentation
p.344
p.344
Coded-Structured Light System Calibration Using Orthogonal Phase Shift Coding Combined with Zhang’s Method
p.348
p.348
Stereo Matching Algorithm Based on Pyramid Double Dynamic Programming
p.352
p.352
Accurate Calibration Method for a Computer Vision System
p.356
p.356
A Image Retrival Method with Multi-Features Based on Dempster-Shafer Theory
p.360
p.360
The Projector Calibration Based on ZHANG’s Self-Calibration Method
p.364
p.364
Sonar Image Segmentation Using the Level Set Method without Re-Initialization
p.368
p.368
Cryptanalysis of Elementary Cellular Automata Based Image Encryption
p.372
p.372
Accurate Calibration Method for a Computer Vision System
Abstract:
A high-precision calibration method was proposed. This method is divided four steps: extracting calibration data, building model, calculating inside and outside parameters, and correcting camera distortion. Experimental results show that calibration is very accurate and the total error is not more than 0.06 pixels.
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Periodical:
Advanced Materials Research (Volume 981)
Pages:
356-359
Citation:
Online since:
July 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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