Authors:
Matthias Elter
;
Andreas Ernst
and
Christian Küblbeck
Affiliation:
Fraunhofer Institute for Integrated Circuits (IIS), Germany
Keyword(s):
3D scanner, passive 3D reconstruction, shape from stereo, structure from motion, texture mapping, volumetric fusion, dense stereo.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Retrieval of 3D Objects from Video Sequences
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
We present a low-cost, passive 3d scanning system using an off-the-shelf consumer digital camera for image acquisition. We have developed a state of the art structure from motion algorithm for camera pose estimation and a fast shape from stereo approach for shape reconstruction. We use a volumetric approach to fuse partial shape reconstructions and a texture mapping technique for appearance recovery. We extend the state of the art by applying modifications of standard computer vision techniques to images of very high resolution to generate high quality textured 3d models. Our reconstruction results are robust and visually convincing.