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Research of the 3D Reconstruction Technology Based on Range-image

Author: YuYongPing
Tutor: HanZuo
School: University of North
Course: Computer Software and Theory
Keywords: Depth image Image registration Genetic Algorithms ICP Delaunay triangulation grid
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 206
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Abstract


With the development of computer vision and computer graphics technology , the field of application of three-dimensional reconstruction techniques from the field of robot navigation and high-end visual inspection extended to virtual reality, visual simulation , and in the protection of cultural relics , biomedical , construction and mechanical the design and manufacturing a wide range of applications . Depth image - based three-dimensional reconstruction techniques compared to traditional modeling techniques more efficient , saving time and effort , and can recover the three-dimensional geometry of the measured object reconstruction model has greater authenticity . This paper introduces the the depth image concepts related knowledge , as well as three-dimensional reconstruction of the process by the depth image , then data pretreatment process for three-dimensional reconstruction , image registration , and 3D reconstruction techniques were studied . This article reads as follows: ( 1 ) data preprocessing . From the point cloud denoising and data to streamline data preprocessing operation . For the disorder point cloud data , the paper presents the kd tree denoising algorithm based on the median , the method to remove the noise point can effectively preserve the details of the original data . Streamline data portion , the combination of random sampling and curvature sampling mixed sampling method can be simplified to the point cloud data , while maintaining the characteristics of the original data , and also reduce the point cloud data amount . ( 2 ) the depth of image registration . The depth image registration technology is the focus of the three-dimensional reconstruction work . The analysis of the genetic algorithm and the ICP algorithm , proposed a new idea of ??registration . First preliminary registration using genetic algorithms , and iterative refinement of early registration results using the ICP algorithm based on the square of the distance function . The genetic algorithm has strong global optimal search capability , and has the independence of the problem domain and the robustness of the application , early registration can effectively narrow the difference in position between the two depth image and improve the stability of the ICP algorithm . ( 3 ) three-dimensional reconstruction . This paper analyzes the common three-dimensional reconstruction method , and elaborated on the principles and steps of the Delaunay triangulation . Laplace surface smoothing algorithm , the algorithm can effectively reduce the the reconstructed surface roughness , and improve reconstruction results .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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