On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

In this paper we want to start the discussion on whether image based 3-D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera calibration (internal and external) and (ii) dense multi-view stereo. To investigate both, we have acquired test data from outdoor scenes both with LIDAR and cameras. Using the LIDAR data as reference we estimated the ground-truth for several scenes. Evaluation sets are prepared to evaluate different aspects of 3D model building. These are: (i) pose estimation and multi-view stereo with known internal camera parameters; (ii) camera calibration and multi-view stereo with the raw images as the only input and (iii) multi-view stereo.

Published in:
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Presented at:
IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, June 24-26, 2008
Other identifiers:

 Record created 2008-09-13, last modified 2018-01-28

External links:
Download fulltextURL
Download fulltextn/a
Rate this document:

Rate this document:
(Not yet reviewed)