MOTORIZED PANORAMIC CAMERA MOUNT – CALIBRATION AND IMAGE CAPTURE

Abstract. interesting applications. Among the large variation of panoramic camera systems, we have focused on concentric panoramic imaging with a frame camera. In order to establish the concentric image acquisition, the camera mount must be calibrated so that the projection centre of the camera is located at the rotation centre of the mount. For this purpose, we developed a novel mount calibration method, which allows an accurate recovery of the rotation centre in two image acquisition steps. In addition, we have built a motorized camera mount that can self-calibrate the camera position within the mount, given the previously solved rotation centre, and then be used to automatically capture panoramic images. Hence, we have streamlined the previously laborious manual phase of iterative position calibration, but also automated the capturing of panoramic images. For validation purposes, reference results from a conventional manual mount are provided. In the case of non-motorized mount, the average distance between the projection centre of the camera and the rotation centre of the mount was 0.253 mm and the standard deviation was 0.161 mm. For the motorized mount, the corresponding average distance and standard deviation were 0.549 mm and 0.404 mm, respectively.

[1]  Narendra Ahuja,et al.  Multiview panoramic cameras using mirror pyramids , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Petri Rönnholm,et al.  Image acquisition constraints for panoramic frame camera imaging , 2012 .

[3]  G. Fangi,et al.  Photogrammetric Processing of Spherical Panoramas , 2013 .

[4]  Shree K. Nayar,et al.  Real-Time Omnidirectional and Panoramic Stereo , 1998 .

[5]  Long Quan,et al.  Linear N-Point Camera Pose Determination , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Luigi Barazzetti,et al.  Stitching and Processing Gnomonic Projections for Close-Range Photogrammetry , 2013 .

[7]  Nikolai I. Chernov,et al.  Least Squares Fitting of Circles , 2005, Journal of Mathematical Imaging and Vision.

[8]  Gang Cheng,et al.  Real-Time FPGA-Based Panoramic Unrolling of High-Resolution Catadioptric Omnidirectional Images , 2009, 2009 International Conference on Measuring Technology and Mechatronics Automation.

[9]  Ho Chao Huang,et al.  Disparity Morphing and Automatic Generation of Stereo Panoramas for Photo Realistic Virtual Reality Systems , 2015 .

[10]  Jafar Amiri Parian,et al.  Panoramic Camera Calibration Using 3D Straight Lines , 2005 .

[11]  Henrik G. A. Haggren,et al.  Cocentric image capture for photogrammetric triangulation and mapping and for panoramic visualization , 1998, Electronic Imaging.

[12]  Jussi Heikkinen The circular imaging block in close-range photogrammetry , 2005 .

[13]  H. Maas,et al.  GEOMETRIC MODELLING AND CALIBRATION OF A HIGH RESOLUTION PANORAMIC CAMERA , 2003 .

[14]  Petteri Pöntinen ON THE GEOMETRICAL QUALITY OF PANORAMIC IMAGES , 2004 .