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.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Christoph Strecha, Wolfgang von Hansen, Luc J. Van Gool, Pascal Fua, Ulrich Thoennessen
• Keywords: Camera Calibration, Computer Vision, CVPR 2008, Dense Multi-view Stereo, Internal Camera Parameters, LiDAR Data, Multi-view Stereo