Infrared images have low resolution and obscure details. Many 3D reconstruction methods from visual images are unsuitable for infrared images. In this paper, a method of 3D reconstruction from infrared images is presented. This method is based on volume intersection technique and 3D object representation is octree structure. Octree representation is compact, informative and especially useful for graphic displays and object recognition tasks.
KEYWORDS: 3D vision, 3D image processing, Machine vision, Computer vision technology, Fluctuations and noise, Astronomical engineering, 3D metrology, 3D image reconstruction, Arteries, X-ray imaging
In computer vision, there are many methods to obtain 3D information of objects from images. But the forms of 3D information are different from different methods. For example, in the way of shape from shading, orientation of surface normal can be obtained; in the way of stereo vision, 3D coordinate of points on the object can be obtained. This paper proposes a new method to calculate cross-section area of the object from surface normal by fitting curve. The new method is more precise than old method.
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