相機(jī)外參數(shù)的標(biāo)定

本 科 畢 業(yè) 設(shè) 計(jì) (論 文)

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相機(jī)外參數(shù)的估計(jì)

摘要

相機(jī)標(biāo)定是攝影測量、視覺檢測、計(jì)算機(jī)視覺等領(lǐng)域的重點(diǎn)研究課題之一，在測繪、工業(yè)控制、導(dǎo)航、軍事等領(lǐng)域得到了極大的應(yīng)用。相機(jī)標(biāo)定為視覺圖像的兩維信息與實(shí)際三維物體世界提供了對應(yīng)、轉(zhuǎn)換的定量關(guān)系。本文圍繞相機(jī)標(biāo)定研究了Harris角點(diǎn)提取、相機(jī)模型與標(biāo)定方法等內(nèi)容。

主要包括：

1．對相機(jī)成像的理論前提和實(shí)際過程，進(jìn)行了詳細(xì)的介紹。在分析不同投影模型和成像關(guān)系的前提下，選用最實(shí)用的透視投影成像模型。同時(shí)，對實(shí)際成像過程中各種坐標(biāo)及轉(zhuǎn)換關(guān)系，進(jìn)行了詳細(xì)的分析和數(shù)學(xué)描述。

2．研究了圖像特征點(diǎn)的提取問題。在角點(diǎn)提取過過程中，利用的是Harris角點(diǎn)提取算法，并對實(shí)際相片進(jìn)行了角點(diǎn)的提取。

3．利用svd因式分解，通過相機(jī)成像時(shí)圖像上的點(diǎn)和真實(shí)場景之間的關(guān)系，建立方程式，運(yùn)用比例正交投影等最終確定出相機(jī)的外參數(shù)。

關(guān)鍵詞：相機(jī)標(biāo)定；坐標(biāo)系間的轉(zhuǎn)換關(guān)系；svd因式分解算法；Harris角點(diǎn)檢測

ESTIMATE THE EXTERNAL PARAMETER OF CAMERA

Abstract

Camera calibration has been one of important topics for photogrammetry,vision inspeclion,computer vision and so on.It has been useful in many practical applications such as mapping,industry controlling automatic navigation and military.Camera calibration provides a quantitative description for the corresponding transformation between 2D information of the vision image and real 3D object world..

1.Introduce detailly the theory and real procession of the camera imaging.After analyzing all projecting models and imaging relations,this thesis adopts the most applied perspective-imaging model.At the same time,the real?imaging procession and all relations about transforming coordinates are introduced.

2. Of the image feature point extraction problem. In the corner over the course of extraction, using the Harris corner detection algorithm, and the actual photos were corner extraction.

3.Use svd factorization, through the camera when the image on the imaging point and the relationship between the real scene, the establishment of equations, using orthogonal projection ratio of the final determined outside the parameters of the camera.

Key words: Camera calibration;Transform relationship between the coordinate system ;svd factorization algorit

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