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3D reconstruction using an uncalibrated stereo pair of encoded images

Philippe Lavoie, Dan Ionescu, Emil M. Petriu

发表年份
1996
引用次数
5

摘要

The reconstruction of three dimensional (3-D) objects is used in CAD/CAM, robotics, remote sensing, etc. The models (images) can be either directly acquired by using special devices such as range finders, CTR scanners, etc. or they can be recovered from a series of 2-D images of the object. The authors report on a new method for reconstructing 3-D objects from two 2-D images using CCD cameras. This method uses a pseudo-random encoded grid projected on the object. The grid nodes are used in matching left to right 2-D images. The set of matched points are further used to calculate the disparity of each point of the object surface. Experimental examples illustrate the performance of this simple and elegant technique.

关键词

Artificial intelligenceComputer visionComputer scienceObject (grammar)GridMatching (statistics)Set (abstract data type)Point (geometry)Iterative reconstructionStereo imaging

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