Efficient city-sized 3D reconstruction from ultra-high resolution aerial and ground video imagery

Authors:
Alexandru N. Vasile;Luke J. Skelly;Karl Ni;Richard Heinrichs;Octavia Camps
Affiliations:
Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA
Venue:
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Year:
2011

Citing 11
Cited 0

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
An Efficient Solution to the Five-Point Relative Pose Problem

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Automated Method for Large-Scale, Ground-Based City Model Acquisition

International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Detailed Real-Time Urban 3D Reconstruction from Video

International Journal of Computer Vision
Scene reconstruction and visualization from internet photo collections

Scene reconstruction and visualization from internet photo collections
Accurate, Dense, and Robust Multiview Stereopsis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Building Rome on a cloudless day

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Extrinsic camera parameter estimation based-on feature tracking and GPS data

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces an approach for geo-registered, dense 3D reconstruction of city-sized scenes using a combination of ultra-high resolution aerial and ground video imagery. While 3D reconstructions from ground imagery provide high-detail street-level views of a city, they do not completely cover the entire city scene and might have distortions due to GPS drift. Such a reconstruction can be complemented by aerial imagery to capture missing scene surfaces as well as improve geo-registration. We present a computationally efficient method for 3D reconstruction of city-sized scenes using both aerial and ground video imagery to obtain a more complete and self-consistent georegistered 3D city model. The reconstruction results of a 1×1km city area, covered with a 66 Mega-pixel airborne system along with a 60 Mega-pixel ground camera system, are presented and validated to geo-register to within 3m to prior airborne-collected LiDAR data.