PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Moroni D., Pascali M. A., Reggiannini M., Salvetti O. Multi-sensor data fusion for underwater archaeological investigation. In: UAC 2013 - 1st International Conference and Exhibition on Underwater Acoustics (Corfu, Greece, 23-28 June 2013). Proceedings, pp. 1467 - 1474. FORTH - Institute of Applied and Computational Mathematics, 2013.
 
 
Abstract
(English)
The primary purpose of this work consists in treating optical and acoustic signals in order to extract useful information for applications in underwater archaeology. Data are processed to assess the presence of geometrically regular elements, potentially indicating handmade objects lying on the seafloor. Geometrical elements are recognized by means of suitable algorithms and their statistical persistence in the data stream is employed as a descriptor. Multi-sensor data are processed by applying segmentation and classification procedures based on a geometrical pattern analysis, with the purpose of discerning different materials. We basically seek for meaningful features in the data in order to perform robust object recognition, also in case of unfavorable environmental conditions. Finally we define a unique data fusion model that can be exploited for exhaustive interpretation of the underwater scene.
Subject 3D Reconstruction
Underwater Acoustics
Underwater Archaeology
Data Fusion
Curve Detection
3D From Stereo
I.2.10 Vision and Scene Understanding
I.3.8 COMPUTER GRAPHICS. Applications
I.4.1 Digitization and Image Capture
I.4.3 Enhancement
I.4.7 Feature Measurement
I.4.8 Scene Analysis
I.4.9 IMAGE PROCESSING AND COMPUTER VISION. Applications
J.5 ARTS AND HUMANITIES


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