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A binocular machine vision system for three-dimensional surface measurement of small objects
Authors:Dimitris  Kostas  Dido  
Institution:

aNational Technical University of Athens, School of Electrical and Computer Engineering, Laboratory of Biomedical Optics and Applied Biophysics, 9 Iroon Polutexneiou Street, Zografou Campus, 157 73 Zografou, Greece

bNational Technical University of Athens, School of Electrical and Computer Engineering, Laboratory of Biomedical Optics and Applied Biophysics, 9 Iroon Polutexneiou Street, Zografou Campus, 157 73 Zografou, Greece

Abstract:Rendering three-dimensional information of a scene from optical measurements is very important for a wide variety of applications. However, computer vision advancements have not yet achieved the accurate three-dimensional reconstruction of objects smaller than 1 cm diameter. This paper describes the development of a novel volumetric method for small objects, using a binocular machine vision system. The achieved precision is high, providing a standard deviation of 0.04 mm. The robustness, of the system, issues from the lab prototype imaging system with the crucial z-axis movement without the need of further calibration and the fully automated volumetric algorithms.
Keywords:Photogrammetry  Calibration  Structured light  Conjugate points  Small object imaging  3D skin tumour imaging
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