Three-dimensional scene reconstruction from a two-dimensional image

Franz Parkins; Eddie Jacobs

doi:10.1117/12.2266411

1 May 2017 Three-dimensional scene reconstruction from a two-dimensional image

Franz Parkins, Eddie Jacobs

Proceedings Volume 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII; 1019909 (2017) https://doi.org/10.1117/12.2266411
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

We propose and simulate a method of reconstructing a three-dimensional scene from a two-dimensional image for developing and augmenting world models for autonomous navigation. This is an extension of the Perspective-n-Point (PnP) method which uses a sampling of the 3D scene, 2D image point parings, and Random Sampling Consensus (RANSAC) to infer the pose of the object and produce a 3D mesh of the original scene. Using object recognition and segmentation, we simulate the implementation on a scene of 3D objects with an eye to implementation on embeddable hardware. The final solution will be deployed on the NVIDIA Tegra platform.

Conference Presentation

Citation Download Citation

Franz Parkins and Eddie Jacobs "Three-dimensional scene reconstruction from a two-dimensional image", Proc. SPIE 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII, 1019909 (1 May 2017); https://doi.org/10.1117/12.2266411

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available