基於遠近視角變換之影像擷取實現互動式物體尺寸與距離估測系統

Implementation of an Interactive Dimension and Depth Measurement System Based on Multiple Image Captures

廖裕銘(Yu-Ming Liao)

指導教授 ： 林惠勇

國立中正大學/工學院/電機工程學系/碩士(2014年)

摘要

本論文提出一個基於遠近視角變換之影像擷取系統，實現互動式物體尺寸與距離估測，用以取得媲美多台相機或其他量測儀器所得到的精確量測結果，並且成本上比起許多儀器便宜許多。在此系統中，有別於傳統的立體視覺系統，我們以移動平台帶動單一相機，位移相機前後位置，得到距離不同的影像資訊。利用影像中物體的像素數量不同，結合相機幾何原理，計算出物體大小。此外，本論文系統導入了桶狀失真校正，將影像復原後，進一步地將影像使用邊緣偵測以及霍夫轉換，得到物體在影像中較為準確的大小。此研究成果可以幫助在量測時，遇到高物價之物體、軟物體、不可接觸或接觸不到的物體時，利用此系統得到較佳且工作耗時短的量測結果。

關鍵字

物體量測 ； 工業機器人 ； 影像估測

並列摘要

This thesis present the implementation of an interactive dimension and depth measurement system based on multiple image captures. The objective is to achieve the results comparable to the accurate measurements obtained from other precision measurement instruments while the low cost of the proposed technique. In the system, based on the spatial invariant principle for an object, we use a motion platform to drive a camera to along a linear rail and generate multiple images at different distances. This method is not common stereo vision system. We use a different number of pixels in the image of the object combined with the camera geometric principles to calculate the size of the object. In addition, the thesis introduced barrel distortion correction to make the measurement. The technique presented in this thesis may be used to measure the high-cost, soft and non-touchable objects.

並列關鍵字

Measurement object ； Industrial robot ； Image estimation

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