IEEE Transactions on Image Processing · 1998 · 41 citations · 18 references
Pass RegistrationEngineeringUnderwater SystemDepth MapUnderwater ImagingImage AnalysisStereo VisionUnderwater 3D ReconstructionComputational GeometryAcoustic LensSonar Signal ProcessingGeometric ModelingMachine VisionMedical ImagingInverse ProblemsUltrasoundAcoustic TechnologyComputer Vision3D VisionNatural SciencesLens Data3D ReconstructionUnderwater Technology
The acoustic lens is a high‑resolution, forward‑looking sonar for 3‑D underwater imaging, yet acoustical imaging remains sparse and low‑resolution compared to optical imaging. The study aims to process lens data to recreate and visualize scenes, address data‑fusion challenges from overlapping views, and improve object reconstruction by combining multiple passes. Higher resolution is achieved by mounting the lens on a moving platform to obtain denser samples, and algorithms for pass registration enable accurate image alignment and enhanced detail. Algorithms for pass registration improve image detail, and in‑water experiments demonstrate that size and shape can be accurately obtained under nearly ideal conditions.
The acoustic lens is a high-resolution, forward-looking sonar for three dimensional (3-D) underwater imaging. We discuss processing the lens data for recreating and visualizing the scene. Acoustical imaging, compared to optical imaging, is sparse and low resolution. To achieve higher resolution, we obtain a denser sample by mounting the lens on a moving platform and passing over the scene. This introduces the problem of data fusion from multiple overlapping views for scene formation, which we discuss. We also discuss the improvements in object reconstruction by combining data from several passes over an object. We present algorithms for pass registration and show that this process can be done with enough accuracy to improve the image and provide greater detail about the object. The results of in-water experiments show the degree to which size and shape can be obtained under (nearly) ideal conditions.
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