A dimension measurement technique based on camera forward motion

This paper present the implementation of an interactive dimension 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 untouchable objects.