3D-Shape Measurement Based on Defocus Characteristic

Abstract

Measurement and reconstruction of 3-dimensional scenes by a visual system is very important subject in the field of Computer Vision. In this article, we propose a method that estimates 3-dimensional structures by using only one input image obtained by a monocular camera. Blurring of image by defocus is a clue to estimating a relative range image, so we use preprocessing of the frequency dimension to extract and analyze the high-frequency component one-dimensional waveform. Furthermore, in order to speed up the process and improve accuracy, we propose a method to set the analysis regions based on edge directions. We confirmed that amount of blur is correlated with range data, from a basic experiment. We performed experiments to verify the effectiveness of our method. Every experiment was performed in approximately 2.5sec, and all the estimated range images were just about good.