Title : 
Flowlab - An Interactive Tool for Editing Dense Image Correspondences
         
        
            Author : 
Klose, F. ; Ruhl, K. ; Lipski, C. ; Magnor, M.
         
        
            Author_Institution : 
Comput. Graphics Lab., Tech. Univ. Braunschweig, Braunschweig, Germany
         
        
        
        
        
        
            Abstract : 
Finding dense correspondences between two images is a well-researched but still unsolved problem. For various tasks in computer graphics, e.g. image interpolation, obtaining plausible correspondences is a vital component. We present an interactive tool that allows the user to modify and correct dense correspondence maps between two given images. Incorporating state-of-the art algorithms in image segmentation, correspondence estimation and optical flow, our tool assists the user in selecting and correcting mismatched correspondences.
         
        
            Keywords : 
computer graphics; image matching; image segmentation; image sequences; computer graphic; dense image correspondences editing; flowlab interactive tool; image interpolation; image segmentation; optical flow; Adaptive optics; Cameras; Estimation; High speed optical techniques; Interpolation; Optical imaging; Rendering (computer graphics); Dense Image Correspondences; Optical Flow;
         
        
        
        
            Conference_Titel : 
Visual Media Production (CVMP), 2011 Conference for
         
        
            Conference_Location : 
London
         
        
            Print_ISBN : 
978-1-4673-0117-6
         
        
        
            DOI : 
10.1109/CVMP.2011.13