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Research on Next Best View Based on Depth Image Information

Author: ZengLiLi
Tutor: ZhangShiHui
School: Yanshan University
Course: Applied Computer Technology
Keywords: Depth image The orientation of the best observation Triangular mesh STL file Occlusion point
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 68
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Abstract


The orientation of the best observation of active computer vision research , widely used in the field of computer target recognition , photogrammetry , 3D scene reconstruction . The depth of the image information of the visual target based on the integrated use of computer vision, image processing, differential geometry theory and methods , and how to determine the best observation of the target object orientation . Firstly, the concept of the depth image acquisition method as well as several commonly used the depth image preprocessing method . Second, starting from the depth image information and the change of curvature of the surface characteristics of in-depth analysis and research on how to extract the depth image feature points of the triangular mesh method ; designed on this basis, based on the surface curvature change and uniformity sampling depth image triangular mesh . The method uses triangular mesh approximation instead of the depth image information extracted important feature data to determine the best observation of the target object orientation . Again, on the basis of analysis of existing STL ( stereo lithography ) files , combined with the depth of the image triangle meshing characteristics of the information , an improved method of triangular mesh data storage model based on STL file . The method is through the vertices of the triangle and normal vector ID , which means that the grid coordinates item becomes the number storage , the feature data extracted from a depth image information to create a data storage model . Finally, the analysis of information in the data storage model , active vision best observation azimuth algorithm based block access to a specific position and angle of the target object next visual . And emulation Matlab7.0 environment , combined with the algorithm and experimental results are analyzed .

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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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