基于雙目立體視覺(jué)系統(tǒng)的大視域圖像拼接和三維重建及測(cè)量的應(yīng)用研究
本文選題:雙目視覺(jué)視覺(jué)系統(tǒng) 切入點(diǎn):大視域 出處:《河南工業(yè)大學(xué)》2013年碩士論文 論文類型:學(xué)位論文
【摘要】:雙目立體視覺(jué)系統(tǒng)是計(jì)算機(jī)視覺(jué)的一個(gè)重要的分支,是由不同位置的相機(jī)經(jīng)過(guò)移動(dòng)或旋轉(zhuǎn)拍攝同一景物,通過(guò)計(jì)算空間物點(diǎn)在左右圖像對(duì)中的視差,獲取該點(diǎn)的三維信息的過(guò)程。主要過(guò)程有:圖像獲取、相機(jī)標(biāo)定、圖像匹配和三維實(shí)體模型的重建。 本文基于人和動(dòng)物的雙目視覺(jué),設(shè)計(jì)了一套雙目立體視覺(jué)系統(tǒng),用兩個(gè)相機(jī)模仿人和動(dòng)物的雙眼,獲取場(chǎng)景的圖像信息。采用基于標(biāo)定板的相機(jī)標(biāo)定方法對(duì)雙目立體視覺(jué)系統(tǒng)進(jìn)行標(biāo)定,在對(duì)雙目視覺(jué)系統(tǒng)光學(xué)分析的基礎(chǔ)上,提出一種直接圖像拼接的方法,即不需要通過(guò)相關(guān)的算法搜尋相鄰兩幅圖像對(duì)中相同的特征來(lái)確定他們的相對(duì)位置,對(duì)初始圖像直接剪切并拼接成一幅大視域的圖像拼接方法,實(shí)現(xiàn)了大視域圖像的快速拼接。對(duì)由系統(tǒng)誤差造成的相鄰圖像對(duì)之間的錯(cuò)位,通過(guò)計(jì)算拼接處的相關(guān)性,得到圖像拼接邊緣的最佳匹配位置,并獲得圖像之間的錯(cuò)位值,對(duì)圖像拼接產(chǎn)生的錯(cuò)位進(jìn)行了校正。針對(duì)相機(jī)問(wèn)光的強(qiáng)度不同造成的拼接縫,采用改進(jìn)的加權(quán)法消除圖像拼接縫處的人為痕跡。 最后,本文相機(jī)標(biāo)定算法的實(shí)現(xiàn)應(yīng)用HALCON軟件,借助HALCON強(qiáng)大的圖像處理功能來(lái)完成相機(jī)標(biāo)定。對(duì)拼接大視域圖像中的標(biāo)記點(diǎn)進(jìn)行三維坐標(biāo)提取,實(shí)現(xiàn)三維數(shù)字測(cè)量,并用Delaunay三角剖分的方法擬合三維曲面。然后運(yùn)用Visual Studio2010和函數(shù)庫(kù)AutoCAD二次開(kāi)發(fā)工具ObjectARX2013進(jìn)行二次開(kāi)發(fā),運(yùn)用面向?qū)ο蟮募夹g(shù)實(shí)現(xiàn)三維重建。
[Abstract]:Binocular stereoscopic vision system is an important branch of computer vision. It is used by cameras in different positions to photograph the same scene through moving or rotating, and the parallax between the objects in the left and right image pairs is calculated by calculating the parallax of the spatial object points in the left and right image pairs. The process of obtaining 3D information of this point includes image acquisition, camera calibration, image matching and 3D solid model reconstruction. Based on the binocular vision of human and animal, a binocular stereo vision system is designed in this paper. Two cameras are used to imitate the eyes of human and animal. The camera calibration method based on calibration board is used to calibrate the binocular stereo vision system. Based on the optical analysis of the binocular vision system, a direct image stitching method is proposed. That is to say, it is not necessary to search for the same features of two adjacent image pairs to determine their relative position, and to directly cut and splice the initial image into a large horizon image mosaic method. The fast stitching of large horizon images is realized. By calculating the correlation between adjacent image pairs caused by system error, the best matching position of image stitching edge is obtained, and the dislocation value between images is obtained. The misalignment caused by image stitching is corrected and the artificial traces of the stitches in the image stitches are eliminated by the improved weighting method for the stitches caused by the different intensity of the camera light. Finally, the realization of camera calibration algorithm is realized by using HALCON software, and the powerful image processing function of HALCON is used to complete camera calibration. The 3D surface is fitted with Delaunay triangulation method, and then Visual Studio2010 and AutoCAD secondary development tool ObjectARX2013 are used to carry out the secondary development, and the object oriented technology is used to realize 3D reconstruction.
【學(xué)位授予單位】:河南工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:P23;TP391.41
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