Robust 3D reconstruction using LiDAR and N - visual image

Prakash Duraisamy; Stephen Jackson; Kamesh Namuduri; Mohammed S. Alam; Bill Buckles

doi:10.1117/12.2016357

29 April 2013 Robust 3D reconstruction using LiDAR and N - visual image

Prakash Duraisamy, Stephen Jackson, Kamesh Namuduri, Mohammed S. Alam, Bill Buckles

Proceedings Volume 8748, Optical Pattern Recognition XXIV; 874808 (2013) https://doi.org/10.1117/12.2016357
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

3D image reconstruction is desirable in many applications such as city planning, cartography and many vision applications. The accuracy of the 3D reconstruction plays a vital role in many real world applications. We introduce a method which uses one LiDAR image and N conventional visual images to reduce the error and to build a robust registration for 3D reconstruction. In this method we used lines as features in both the LiDAR and visual images. Our proposed system consists of two steps. In the first step, we extract lines from the LiDAR and visual images using Hough transform. In the second step, we estimate the camera matrices using a search algorithm combined with the fundamental matrices for the visual cameras. We demonstrate our method on a synthetic model which is an idealized representation of an urban environment.

Citation Download Citation

Prakash Duraisamy, Stephen Jackson, Kamesh Namuduri, Mohammed S. Alam, and Bill Buckles "Robust 3D reconstruction using LiDAR and N - visual image", Proc. SPIE 8748, Optical Pattern Recognition XXIV, 874808 (29 April 2013); https://doi.org/10.1117/12.2016357

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