ASSESSMENT OF CHROMATIC ABERRATIONS FOR GOPRO 3 CAMERAS IN UNDERWATER ENVIRONMENTS

Abstract. With underwater photogrammetric mapping becoming more prominent due to the lower costs for waterproof cameras as well as lower costs for underwater platforms, the aim of this research is to investigate chromatic aberration in underwater environments. Chromatic aberration in in-air applications is to be known to systematically influence the observations of up to a few pixels. In order to achieve pixel-level positioning accuracy, this systematic influence needs further investigation. However, while chromatic aberration studies have been performed for in-air environments, there is a lack of research to quantify the influence of chromatic aberration in underwater environments. Using images captured in a water tank from three different GoPro cameras in five datasets, we investigate possible chromatic aberration by running two different adjustments on the extracted red (R), green (G) and blue (B) bands. The first adjustment is an adjustment that calculates the interior orientation parameters for each set of images independently in a free network adjustment. The second adjustment solves for all interior orientation parameters (for R, G, and B channels) in a combined adjustment per camera, constraining the point observations in object space. We were able to quantify significant chromatic aberrations in our evaluation, with the largest aberrations observed for red band followed by green and blue.

[1]  Thomas Luhmann,et al.  MODELLING OF CHROMATIC ABERRATION FOR HIGH PRECISION PHOTOGRAMMETRY , 2006 .

[2]  Clive S. Fraser,et al.  Digital camera self-calibration , 1997 .

[3]  Euan S. Harvey,et al.  Calibration stability of an underwater stereo-video system : Implications for measurement accuracy and precision , 1998 .

[4]  A. Georgopoulos,et al.  UNDERWATER PHOTOGRAMMETRY IN VERY SHALLOW WATERS: MAIN CHALLENGES AND CAUSTICS EFFECT REMOVAL , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[5]  Helmholz ACCURACY ASSESSMENT OF GO PRO HERO 3 ( BLACK ) CAMERA IN UNDERWATER ENVIRONMENT , 2016 .

[6]  Carlo Beltrame,et al.  UNDERWATER PHOTOGRAMMETRY AND 3D RECONSTRUCTION OF MARBLE CARGOS SHIPWRECK , 2015 .

[7]  A. Denker,et al.  3D MODELING OF THE ARCHAIC AMPHORAS OF IONIA , 2015 .

[8]  Dimitrios Skarlatos,et al.  THE EFFECT OF UNDERWATER IMAGERY RADIOMETRY ON 3DRECONSTRUCTION AND ORTHOIMAGERY , 2017 .

[9]  Alessandro Capra,et al.  3D RECONSTRUCTION OF AN UNDERWATER ARCHAELOGICAL SITE: COMPARISON BETWEEN LOW COST CAMERAS , 2015 .

[10]  J. H. Burns,et al.  COMPARISON OF COMMERCIAL STRUCTURE-FROM-MOTIONPHOTOGRAMMETY SOFTWARE USED FOR UNDERWATER THREE-DIMENSIONALMODELING OF CORAL REEF ENVIRONMENTS , 2017 .

[11]  Fabio Bruno,et al.  3D DOCUMENTATION OF ARCHEOLOGICAL REMAINS IN THE UNDERWATER PARK OF BAIAE , 2015 .

[12]  Richard Ladstädter,et al.  ELIMINATION OF COLOR FRINGES IN DIGITAL PHOTOGRAPHS CAUSED BY LATERAL CHROMATIC ABERRATION , 2005 .

[13]  F. S. Rendea,et al.  PILOT APPLICATION OF 3 D UNDERWATER IMAGING TECHNIQUES FOR MAPPING POSIDONIA OCEANICA ( L . ) DELILE MEADOWS , 2015 .

[14]  Mohit Gupta,et al.  On controlling light transport in poor visibility environments , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[15]  Fabio Menna,et al.  Optical aberrations in underwater photogrammetry with flat and hemispherical dome ports , 2017, Optical Metrology.

[16]  Fabio Menna,et al.  Geometric and Optic Characterization of a Hemispherical Dome Port for Underwater Photogrammetry , 2016, Sensors.

[17]  M. Shortis,et al.  A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications , 2009 .

[18]  Fabio Bruno,et al.  PILOT APPLICATION OF 3D UNDERWATER IMAGING TECHNIQUES FOR MAPPING POSIDONIA OCEANICA (L.) DELILE MEADOWS , 2015 .

[19]  Hans-Gerd Maas A MODULAR GEOMETRIC MODEL FOR UNDERWATER PHOTOGRAMMETRY , 2015 .

[20]  Armin Gruen,et al.  MONITORING CORAL GROWTH – THE DICHOTOMY BETWEEN UNDERWATER PHOTOGRAMMETRY AND GEODETIC CONTROL NETWORK , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[21]  Djamel Merad,et al.  UNDERWATER PHOTOGRAMMETRY, CODED TARGET AND PLENOPTICTECHNOLOGY: A SET OF TOOLS FOR MONITORING RED CORAL INMEDITERRANEAN SEA IN THE FRAMEWORK OF THE ”PERFECT” PROJECT , 2017 .

[22]  N. Pfeifer,et al.  Water Surface Reconstruction in Airborne Laser Bathymetry from Redundant Bed Observations , 2017 .

[23]  R. Matsuoka,et al.  EVALUATION OF CORRECTION METHODS OF CHROMATIC ABERRATION IN DIGITAL CAMERA IMAGES , 2012 .

[24]  Fabio Bruno,et al.  Evaluation of Underwater Image Enhancement Algorithms under Different Environmental Conditions , 2018 .

[25]  Pascal Monasse,et al.  Precise Correction of Lateral Chromatic Aberration in Images , 2013, PSIVT.

[26]  Kimon Papadimitriou,et al.  SURVEYING, MODELING AND 3D REPRESENTATION OF A WRECK FOR DIVING PURPOSES: CARGO SHIP “VERA” , 2017 .

[27]  Mark R. Shortis,et al.  Multispectral calibration to enhance the metrology performance of C-mount camera systems , 2014 .

[28]  F. A. Heuvel,et al.  CALIBRATION OF FISHEYE CAMERA SYSTEMS AND THE REDUCTION OF CHROMATIC ABERRATION , 2006 .

[29]  Duane C. Brown,et al.  Close-Range Camera Calibration , 1971 .

[30]  T. Van Damme,et al.  Computer Vision Photogrammetry for Underwater Archaeological Site Recording in a Low-Visibility Environment , 2015 .

[31]  S. D’Amelio,et al.  3D MODELING FOR UNDERWATER ARCHAEOLOGICAL DOCUMENTATION: METRIC VERIFICATIONS , 2015 .

[32]  Reinhard Koch,et al.  BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT , 2015 .

[33]  Pierre Grussenmeyer,et al.  IMPROVING UNDERWATER ACCURACY BY EMPIRICAL WEIGHTING OF IMAGE OBSERVATIONS , 2018 .