{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:25:30Z","timestamp":1780511130336,"version":"3.54.1"},"reference-count":42,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,4,14]],"date-time":"2016-04-14T00:00:00Z","timestamp":1460592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The integration of underwater 3D data captured by acoustic and optical systems is a promising technique in various applications such as mapping or vehicle navigation. It allows for compensating the drawbacks of the low resolution of acoustic sensors and the limitations of optical sensors in bad visibility conditions. Aligning these data is a challenging problem, as it is hard to make a point-to-point correspondence. This paper presents a multi-sensor registration for the automatic integration of 3D data acquired from a stereovision system and a 3D acoustic camera in close-range acquisition. An appropriate rig has been used in the laboratory tests to determine the relative position between the two sensor frames. The experimental results show that our alignment approach, based on the acquisition of a rig in several poses, can be adopted to estimate the rigid transformation between the two heterogeneous sensors. A first estimation of the unknown geometric transformation is obtained by a registration of the two 3D point clouds, but it ends up to be strongly affected by noise and data dispersion. A robust and optimal estimation is obtained by a statistical processing of the transformations computed for each pose. The effectiveness of the method has been demonstrated in this first experimentation of the proposed 3D opto-acoustic camera.<\/jats:p>","DOI":"10.3390\/s16040536","type":"journal-article","created":{"date-parts":[[2016,4,14]],"date-time":"2016-04-14T12:37:04Z","timestamp":1460637424000},"page":"536","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["An Alignment Method for the Integration of Underwater 3D Data Captured by a Stereovision System and an Acoustic Camera"],"prefix":"10.3390","volume":"16","author":[{"given":"Antonio","family":"Lagudi","sequence":"first","affiliation":[{"name":"DIMEG, University of Calabria, Via P. Bucci 46\/C\u2013Rende, Cosenza 87036, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianfranco","family":"Bianco","sequence":"additional","affiliation":[{"name":"DIMEG, University of Calabria, Via P. Bucci 46\/C\u2013Rende, Cosenza 87036, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maurizio","family":"Muzzupappa","sequence":"additional","affiliation":[{"name":"DIMEG, University of Calabria, Via P. Bucci 46\/C\u2013Rende, Cosenza 87036, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9755-475X","authenticated-orcid":false,"given":"Fabio","family":"Bruno","sequence":"additional","affiliation":[{"name":"DIMEG, University of Calabria, Via P. Bucci 46\/C\u2013Rende, Cosenza 87036, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1002\/rob.20324","article-title":"Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys","volume":"27","author":"Pizarro","year":"2010","journal-title":"J. Field Robot."},{"key":"ref_2","unstructured":"Drap, P., Merad, D., Bo\u00ef, J.M., Mahiddine, A., Peloso, D., Chemisky, B., Seguin, E., Alcala, F., and Bianchimani, O. (2014). Underwater Seascapes, Springer International Publishing."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.isprsjprs.2011.02.009","article-title":"Experimentation of structured light and stereo vision for underwater 3D reconstruction","volume":"66","author":"Bruno","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","unstructured":"Singh, H., Salgian, G., Eustice, R., and Mandelbaum, R. (2002, January 11\u201315). Sensor fusion of structure-from-motion, bathymetric 3D, and beacon-based navigation modalities. Proceedings of the ICRA\u201902 International Conference on Robotics and Automation, Washington, DC, USA."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s11263-007-0107-3","article-title":"Modeling the world from internet photo collections","volume":"80","author":"Snavely","year":"2008","journal-title":"Int. J. Comput. Vis."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1109\/70.938381","article-title":"A solution to the simultaneous localization and map building (SLAM) problem","volume":"17","author":"Dissanayake","year":"2001","journal-title":"IEEE Trans. Robot. Autom."},{"key":"ref_7","unstructured":"Williams, S., and Mahon, I. (May, January 26). Simultaneous localisation and mapping on the great barrier reef. Proceedings of the ICRA\u201904 International Conference on Robotics and Automation, New Orleans, LA, USA."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1002\/rob.21473","article-title":"Map building fusing acoustic and visual information using autonomous underwater vehicles","volume":"30","author":"Kunz","year":"2013","journal-title":"J. Field Robot."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/MITS.2010.939925","article-title":"A tutorial on graph-based SLAM","volume":"2","author":"Grisetti","year":"2010","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_10","unstructured":"Fusiello, A., Giannitrapani, R., Isaia, V., and Murino, V. (1999, January 4\u20138). Virtual environment modeling by integrated optical and acoustic sensing. Proceedings of the Second International Conference on 3-D Digital Imaging and Modeling, Ottawa, ON, Canada."},{"key":"ref_11","first-page":"207","article-title":"Calibration of an optical-acoustic sensor","volume":"9","author":"Fusiello","year":"2000","journal-title":"Mach. Graph. Vis."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1109\/TVCG.2004.38","article-title":"Augmented scene modeling and visualization by optical and acoustic sensor integration","volume":"10","author":"Fusiello","year":"2004","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_13","unstructured":"Hansen, R.K., and Andersen, P.A. (1996). Acoustical Imaging, Springer US."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1109\/TIP.2009.2013081","article-title":"Opti-acoustic stereo imaging: On system calibration and 3-D target reconstruction","volume":"18","author":"Negahdaripour","year":"2009","journal-title":"IEEE Trans. Image Process."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Negahdaripour, S., Pirsiavash, H., and Sekkati, H. (2007, January 18\u201323). Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning. Proceedings of the CVPR\u201907 Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA.","DOI":"10.1109\/CVPR.2007.383354"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Sekkati, H., and Negahdaripour, S. (2006, January 14\u201316). Direct and indirect 3-D reconstruction from opti-acoustic stereo imaging. Proceedings of the Third International Symposium 3D Data Processing, Visualization, and Transmission.","DOI":"10.1109\/3DPVT.2006.49"},{"key":"ref_17","unstructured":"Negahdaripour, S. (2005, January 17\u201323). Calibration of DIDSON forward-scan acoustic video camera. Proceedings of the MTS\/IEEE OCEANS 2005, Washington, DC, USA."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.1109\/TPAMI.2007.1092","article-title":"Epipolar geometry of opti-acoustic stereo imaging","volume":"29","author":"Negahdaripour","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Nicosevici, T., and Garcia, R. (2008, January 8\u201311). Online robust 3D mapping using structure from motion cues. Proceedings of the MTS\/IEEE OCEANS 2008, Kobe, Japan.","DOI":"10.1109\/OCEANSKOBE.2008.4531022"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Hurt\u00f3s, N., Cuf\u00ec, X., and Salvi, J. (2010, January 24\u201327). Calibration of optical camera coupled to acoustic multibeam for underwater 3D scene reconstruction. Proceedings of the OCEANS 2010 IEEE-Sydney, Sydney, Australia.","DOI":"10.1109\/OCEANSSYD.2010.5603907"},{"key":"ref_21","unstructured":"Zhang, Q., and Pless, R. (October, January 28). Extrinsic calibration of a camera and laser range finder (improves camera calibration). Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), St. Louis, FM, USA."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/34.121791","article-title":"Method for registration of 3-D shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1109\/34.134043","article-title":"Fitting parameterized three-dimensional models to images","volume":"13","author":"Lowe","year":"1991","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1016\/j.image.2005.02.003","article-title":"A complete system for on-line 3D modelling from acoustic images","volume":"20","author":"Castellani","year":"2005","journal-title":"Signal Proc. Image Commun."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.cad.2008.10.003","article-title":"Multi-sensor calibration through iterative registration and fusion","volume":"41","author":"Huang","year":"2009","journal-title":"Comput. Aided Des."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1109\/34.879788","article-title":"Geometric Camera Calibration Using Circular Control Points","volume":"22","author":"Heikkila","year":"2000","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1109\/34.888718","article-title":"A flexible new technique for camera calibration","volume":"22","author":"Zhang","year":"2000","journal-title":"IEEE Trans. PAMI"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"30810","DOI":"10.3390\/s151229831","article-title":"Calibration Techniques for Accurate Measurements by Underwater Camera Systems","volume":"15","author":"Shortis","year":"2015","journal-title":"Sensors"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1016\/j.mechmachtheory.2010.05.002","article-title":"Arithmetic and geometric solutions for average rigid-body rotation","volume":"45","author":"Sharf","year":"2010","journal-title":"Mech. Mach. Theory"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"11007","DOI":"10.3390\/s130811007","article-title":"A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects","volume":"13","author":"Bianco","year":"2013","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Geiger, A., Roser, M., and Urtasun, R. (2011). Efficient Large-Scale Stereo Matching, Springer.","DOI":"10.1007\/978-3-642-19315-6_3"},{"key":"ref_32","unstructured":"OpenCV. Available online: http:\/\/opencv.org\/."},{"key":"ref_33","first-page":"1139","article-title":"Talking Digital","volume":"64","author":"Comer","year":"1998","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_34","unstructured":"Barnes, H. (2003). Oceanography and Marine Biology, CRC Press."},{"key":"ref_35","first-page":"79","article-title":"International hydrographic survey standards","volume":"75","author":"Mills","year":"2015","journal-title":"Int. Hydrogr. Rev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1903","DOI":"10.1109\/5.899059","article-title":"Three-dimensional image generation and processing in underwater acoustic vision","volume":"88","author":"Murino","year":"2000","journal-title":"IEEE Proc."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1016\/S0031-3203(00)00046-7","article-title":"Reconstruction and segmentation of underwater acoustic images combining confidence information in MRF models","volume":"34","author":"Murino","year":"2001","journal-title":"Pattern Recognit."},{"key":"ref_38","unstructured":"CloudCompare. Available online: http:\/\/www.danielgm.net\/cc\/."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Schettini, R., and Corchs, S. (2010). Underwater image processing: State of the art of restoration and image enhancement methods. EURASIP J. Adv. Signal Process.","DOI":"10.1155\/2010\/746052"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Mahiddine, A., Seinturier, J., Boi, D.P.J., Drap, P., Merad, D., and Long, L. (2012, January 2\u20135). Underwater image preprocessing for automated photogrammetry in high turbidity water: An application on the Arles-Rhone XIII roman wreck in the Rhodano river, France. Proceedings of the 18th International Conference Virtual Systems and Multimedia (VSMM), Milan, Italy.","DOI":"10.1109\/VSMM.2012.6365924"},{"key":"ref_41","first-page":"25","article-title":"A New Color Correction Method for Underwater Imaging","volume":"1","author":"Bianco","year":"2015","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_42","unstructured":"PointCloudLibrary (PCL). Available online: http:\/\/www.pointclouds.org\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/536\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:22:13Z","timestamp":1760210533000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/536"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,14]]},"references-count":42,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,4]]}},"alternative-id":["s16040536"],"URL":"https:\/\/doi.org\/10.3390\/s16040536","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,14]]}}}