Three-dimensional underwater acoustical imaging and processing

Acoustic imaging is an active research field that aims to study techniques for the formation and processing of images generated by raw signals acquired by an acoustic system [1]. Our purpose is to present a brief survey concerning the generation and processing of acoustic images for underwater applications [2,3], especially focusing on algorithms for three-dimensional (3-D) imaging. Like optical systems, acoustic systems can generate an image by processing the waves backscattered from the objects of a scene. The relative ease of measuring the timeof-flight of an acoustic signal makes it possible to generate not only acoustic 2-D images similar to optical ones but also range estimates that can be used to produce a real 3-D map.

[1]  Naokazu Yokoya,et al.  Range Image Segmentation Based on Differential Geometry: A Hybrid Approach , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Vittorio Murino,et al.  A geometric approach to the segmentation and reconstruction of acoustic three-dimensional data , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[3]  Ramesh C. Jain,et al.  Invariant surface characteristics for 3D object recognition in range images , 1985, Comput. Vis. Graph. Image Process..

[4]  Enrico Puppo,et al.  3D mosaicing for environment reconstruction , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[5]  J. Sutton Underwater acoustic imaging , 1979, Proceedings of the IEEE.

[6]  Vittorio Murino,et al.  Markov‐based methodology for the restoration of underwater acoustic images , 1997 .

[7]  Xintong Zhang,et al.  Range-data-based object surface segmentation via edges and critical points , 1997, IEEE Trans. Image Process..

[8]  Andrew Blake,et al.  Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.

[9]  Kjell E. Malvig,et al.  Real-time extraction of connected components in 3-D sonar range images , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  L. J. Ziomek Three necessary conditions for the validity of the Fresnel phase approximation for the near-field beam pattern of an aperture , 1993 .

[11]  Bruce G. Batchelor,et al.  Edge-Region-Based Segmentation of Range Images , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jules S. Jaffe,et al.  Code design and performance characterization for code multiplexed imaging , 1990, IEEE Trans. Acoust. Speech Signal Process..

[13]  Olivier Faugeras,et al.  Three-Dimensional Computer Vision , 1993 .

[14]  Vittorio Murino,et al.  A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Andrea Trucco,et al.  Segmentation of underwater 3D acoustical images for augmented and virtual reality applications , 1999, Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008).

[16]  R. K. Hansen An acoustic camera for 3D underwater imaging , 1993 .

[17]  Jean-Marie Augustin,et al.  Segmentation of multibeam acoustic imagery in the exploration of the deep sea-bottom , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[18]  S. Shaw,et al.  Automated error detection in multibeam bathymetry data , 1993, Proceedings of OCEANS '93.

[19]  Martin D. Levine,et al.  Registering Multiview Range Data to Create 3D Computer Objects , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Benoît Zerr,et al.  Three-dimensional reconstruction of underwater objects from a sequence of sonar images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[21]  R. K. Hansen,et al.  The application of real time 3D acoustical imaging , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[22]  A. Trucco,et al.  Three-dimensional image generation and processing in underwater acoustic vision , 2000, Proceedings of the IEEE.

[23]  Richard O. Nielsen,et al.  Sonar Signal Processing , 1991 .

[24]  Anthony P Reeves,et al.  Fast segmentation of range imagery into planar regions , 1989, Comput. Vis. Graph. Image Process..

[25]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[26]  Robert B. Fisher,et al.  Experiments in Curvature-Based Segmentation of Range Data , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Anil K. Jain,et al.  Segmentation and Classification of Range Images , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Richard Szeliski,et al.  Bayesian modeling of uncertainty in low-level vision , 2011, International Journal of Computer Vision.

[29]  Andrew E. Johnson,et al.  Surface registration by matching oriented points , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[30]  Ramesh C. Jain,et al.  Segmentation through Variable-Order Surface Fitting , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  Alberto Elfes,et al.  Sonar-based real-world mapping and navigation , 1987, IEEE J. Robotics Autom..

[32]  Yoshiaki Shirai,et al.  Three-Dimensional Computer Vision , 1987, Symbolic Computation.

[33]  Adrian Hilton,et al.  Registration of multiple point sets , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[34]  Denis Laurendeau,et al.  A General Surface Approach to the Integration of a Set of Range Views , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  J. Goodman Introduction to Fourier optics , 1969 .

[36]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[37]  Robert Bergevin,et al.  Towards a General Multi-View Registration Technique , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[38]  A. Macovski Ultrasonic imaging using arrays , 1979, Proceedings of the IEEE.

[39]  Vittorio Murino,et al.  Acoustic image reconstruction by Markov random fields , 1996 .

[40]  Eam Khwang Teoh,et al.  A Hybrid Method Towards the Segmentation of Range Images for 3-D Object Recognition , 1994, Int. J. Pattern Recognit. Artif. Intell..

[41]  Patrick Pérez,et al.  Unsupervised Segmentation Applied on Sonar Images , 1997, EMMCVPR.

[42]  Stan Z. Li,et al.  Toward 3D vision from range images: An optimization framework and parallel networks , 1991, CVGIP: Image Understanding.

[43]  Vittorio Murino,et al.  Reconstruction and segmentation of underwater acoustic images combining confidence information in MRF models , 2001, Pattern Recognit..

[44]  Olga R. P. Bellon,et al.  An Integrated Approach for Segmentation and Representation of Range Images , 1997, ICIAP.

[45]  R. Bahl,et al.  Simulation of backscattering of high frequency sound from complex objects and sand sea-bottom , 1995 .

[46]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[47]  T. L. Henderson,et al.  Seafloor profiling by a wideband sonar: simulation, frequency-response optimization, and results of a brief sea test , 1989 .

[48]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[49]  Suchendra M. Bhandarkar,et al.  Integrating edge and surface information for range image segmentation , 1992, Pattern Recognit..

[50]  Kari Pulli,et al.  Multiview registration for large data sets , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

[51]  Vittorio Murino,et al.  Three-dimensional skeleton extraction by point set contraction , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[52]  R. K. Hansen,et al.  A 3D Underwater Acoustic Camera — Properties and Applications , 1996 .