Title
Shape Reconstruction of Objects in Participating Media by Combining Photometric Stereo and Optical Thickness
Abstract
This paper proposes a method to reconstruct the 3D shape of objects in participating media. Shape reconstruction of objects in participating media, such as water, fog, and smoke, is difficult due to light scattering, which degrades image quality. While previous methods cope with this problem by removing the scattering components from images, the proposed method estimates optical thickness from images and uses it to recover the depth of the objects in participating media. With the proposed method, a detailed 3D shape is recovered using a photometric stereo technique that was designed to work in participating media. Three-dimensional global shapes that cannot be recovered by the photometric stereo technique, such as depth edges, are recovered from optical thickness. Experimental results with real images show that the proposed method correctly reconstructs the 3D shape of objects in participating media.
Year
DOI
Venue
2016
10.1109/CVAUI.2016.021
2016 ICPR 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI)
Keywords
Field
DocType
three-dimensional global shapes,image quality,3D shape reconstruction,optical thickness,photometric stereo
Iterative reconstruction,Computer vision,Optical depth,Computer graphics (images),Image quality,Scattering,Artificial intelligence,Real image,Shape reconstruction,Geography,Photometric stereo,Light scattering
Conference
ISBN
Citations 
PageRank 
978-1-5090-5871-6
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Yuki Fujimura102.37
Masaaki Iiyama21714.23
Atsushi Hashimoto34013.33
Michihiko Minoh434958.69