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3D Surface Reconstruction of Underwater Objects

IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012
© 2012 by IJCA Journal
NCACC - Number 1
Year of Publication: 2012
Prabhakar C J
Praveen Kumar P U

Prabhakar C J and Praveen Kumar P U. Article: 3D Surface Reconstruction of Underwater Objects. IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 NCACC(1):31-37, August 2012. Full text available. BibTeX

	author = {Prabhakar C J and Praveen Kumar P U},
	title = {Article: 3D Surface Reconstruction of Underwater Objects},
	journal = {IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012},
	year = {2012},
	volume = {NCACC},
	number = {1},
	pages = {31-37},
	month = {August},
	note = {Full text available}


In this paper, we propose a novel technique to reconstruct 3D surface of an underwater object using stereo images. Reconstructing the 3D surface of an underwater object is really a challenging task due to degraded quality of underwater images. There are various reason of quality degradation of underwater images i. e. , non-uniform illumination of light on the surface of objects, scattering and absorption effects. Floating particles present in underwater produces Gaussian noise on the captured underwater images which degrades the quality of images. The degraded underwater images are preprocessed by applying homomorphic, wavelet denoising and anisotropic filtering sequentially. The uncalibrated rectification technique is applied to preprocessed images to rectify the left and right images. The rectified left and right image lies on a common plane. To find the correspondence points in a left and right images, we have applied dense stereo matching technique i. e. , graph cut method. Finally, we estimate the depth of images using triangulation technique. The experimental result shows that the proposed method reconstruct 3D surface of underwater objects accurately using captured underwater stereo images.


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