Shape Matching between Printed 3D Model and Digital 3D Model based on 2D views and Zernike Moments
Yiyu Hong, Jongweon Kim · 2017
With the development of 3D printing technology and lots of available 3D model digital files in the form of stl, 3ds, obj, etc., on the internet, there are many illegally distributed 3D model digital files which are protected by copyright law, and some are already printed. In this paper, we propose a method that matching shape between printed 3D model and digital 3D model based on 2D views and Zernike Moments. The printed 3D model is first photographed into several pictures by a camera, the digital 3D model is also captured into several rendering images by a virtual camera using a computer program. Next, both sides of the images are converted into binary images with denoising image processing. Then, Zernike Moments features are extracted from the binary images. Finally, we can yield similarity between the printed one and digital one by comparing the Zernike Moments.