LOW-COST STRUCTURED-LIGHT 3D CAPTURE SYSTEM DESIGN

To date, three-dimensional measurement is a very important and popular topic in computer vision. Most of the 3D capture products currently in the market are high-end and pricey. They are not targeted for consumers, but rather for research, medical, or industrial usage. Very few aim to provide a solution for home and small business applications. Our goal is to fill in this gap by only using low-cost components to build a 3D capture system that can satisfy the needs of this market segment. In our research, we present a low-cost 3D capture system based on the structured-light method. The system is built around the HP TopShot LaserJet Pro M275. For our capture device, we use the 8.0 Mpixel camera that is part of the M275. We augment this hardware with two 3M MPro 150 VGA (640×480) pocket projectors. We also describe an analytical approach to predicting the achievable resolution of the reconstructed 3D object based on differentials and small signal theory, and an experimental procedure for validating that the system under test meets the specifications for reconstructed object resolution that are predicted by our analytical model. By comparing our experimental measurements from the camera-projector system with the simulation results based on the model for this system, we conclude that our prototype system has been correctly configured and calibrated and that with the analytical models, we have an effective means for specifying system parameters to achieve a given target resolution for the reconstructed object.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2015

Author dc:creator

• Dong, Jing

Contributors dc:contributor

• Jan P Allebach
• Mary L Comer
• Mireille Boutin
• Zygmunt Pizlo

• 3D capture
• Low-cost
• Structured-light

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1299

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2515