3D IMAGE RECONSTRUCTION FOR SUBMERGED OBJECTS USING RAMP RESPONSE SIGNATURES

2011 ◽  
Vol 08 (04) ◽  
pp. 825-836
Author(s):  
W. LI

Underwater acoustical imaging techniques and the inverse analysis of acoustic scattering problems have now found many important engineering applications. Based on the physical optics approximation, the ramp response signal can be proven that it is proportional to the profile function of the scatterer, which is defined as the area of cross section of the object perpendicular to the direction of wave propagation. The image synthesis technique named as the approximate limiting surface technique is applied to generated underwater objects by using the ramp responses of the objects. The modification should be made by an iterative procedure which will adjust the parameters of each surface and will yield a result until the profile functions of this generated image at all looking angles are consistent with the input ones. Several typical objects are presented to demonstrate the process of the 3D image generation and the results indicate that the qualities of the final images are quite acceptable. The further research work is to build an automatic iterative mechanism to generate the final image for a submerged object.

Author(s):  
Parimala Boobalan

In recent years, there is a demand for 3D content for computer graphics, communications, and virtual reality. 3D modelling is an emerging topic that is applied in so many real-world applications. The images are taken through camera at multiple angles and medical imaging techniques like CT scan and MRI are also used. From a set of images, intersection of these projection rays is considered to be the position for 3D point. This chapter discusses the construction of 3D images from multiple objects. Various approaches used for construction, triangulation method, challenges in building this model, and the application of 3D models are explained in this chapter.


2021 ◽  
Vol 224 ◽  
pp. 113234
Author(s):  
J.P.J. Chen ◽  
K.E. Schmidt ◽  
J.C.H. Spence ◽  
R.A. Kirian

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