Image-Based Alignment of 3D Scans

TL;DR

This paper introduces an automatic image-based method for aligning 3D scans of objects taken in different poses by matching 2D features and utilizing image-point cloud correspondence, demonstrated on various objects.

Contribution

The paper presents a novel fully automatic approach for aligning 3D scans from different object poses using 2D image features and point cloud correspondence.

Findings

Successfully aligned scans of three dissimilar objects

Demonstrated robustness across different object types

Achieved accurate registration without manual intervention

Abstract

Full 3D scanning can efficiently be obtained using structured light scanning combined with a rotation stage. In this setting it is, however, necessary to reposition the object and scan it in different poses in order to cover the entire object. In this case, correspondence between the scans is lost, since the object was moved. In this paper, we propose a fully automatic method for aligning the scans of an object in two different poses. This is done by matching 2D features between images from two poses and utilizing correspondence between the images and the scanned point clouds. To demonstrate the approach, we present the results of scanning three dissimilar objects.