Title : 
3-D measurement of objects inwater using fish-eye stereo camera
         
        
            Author : 
Naruse, T. ; Kaneko, Tetsuya ; Yamashita, Atsushi ; Asama, Hajime
         
        
            Author_Institution : 
Dept. of Mech. Eng., Shizuoka Univ., Hamamatsu, Japan
         
        
        
            fDate : 
Sept. 30 2012-Oct. 3 2012
         
        
        
        
            Abstract : 
In this paper, we propose a 3-D measurement method of underwater objects using a fish-eye stereo camera. Sensing in aquatic environments is important to maintain underwater structures and research aquatic lives. A 3-D measurement method of objects in water using a fish-eye stereo camera enables underwater robots to execute its task safely with a wide field of view. However, images taken by fish-eye camera have large distortion following projection model. Also, sensing in aquatic environments meets the difficulty that image distortion occurs by refraction of light due to the difference of refractive indices of air, watertight container and water. As to these problems, we introduce a method to correct fish-eye image and a ray tracing method to remove the effect of refraction. Experimental results show the effectiveness of the proposed method.
         
        
            Keywords : 
object detection; robot vision; stereo image processing; 3D object measurement; aquatic environments; fish-eye stereo camera; underwater objects; underwater robots; Cameras; Containers; Distortion measurement; Robot sensing systems; Sea measurements; Shape measurement; Fish-eye Camera; Stereo Measurement; Underwater Sensing;
         
        
        
        
            Conference_Titel : 
Image Processing (ICIP), 2012 19th IEEE International Conference on
         
        
            Conference_Location : 
Orlando, FL
         
        
        
            Print_ISBN : 
978-1-4673-2534-9
         
        
            Electronic_ISBN : 
1522-4880
         
        
        
            DOI : 
10.1109/ICIP.2012.6467474