Multi-volume high resolution RGB-D mapping with dynamic volume placement

We present a novel method for creating high-resolution 3D reconstructions using RGB-D cameras, such as the Microsoft Kinect. We demonstrate how such a technique can be used both for large scale mapping and high-resolution object detection. Our work consists of two core contributions. First, we present an algorithm to generate 3D reconstructions of arbitrary resolution, up to that of the limitations of the camera, with a linear increase in computation time as a function of resolution. We the build upon this method to provide a general infrastructure for scanning regions of variable shape with variable resolution across the scanned regions. We then show quantitative improvements in resolution in a virtual environment, show qualitative improvements in resolution through images, and provide runtime performance details.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Salvato, Michael (Michael R.)

Advisor dc:contributor.advisor

• John Leonard.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/100639

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/100639