Title : 
Image Mosaic Based on SIFT and Deformation Propagation
         
        
        
            Author_Institution : 
Comput. Graphics & Comput. Vision Lab., Southeast Univ. Nanjing, Nanjing
         
        
        
        
        
        
            Abstract : 
This paper concerns the problem of automatic image stitching which mainly applies to the image sequence. Our proposed method gets the features based on scale invariant feature transform and finds the match pairs. Then we use feature deformation vectors and propagate them from the optimal partitions toward other pixels in the input images. The experiment results confirm the feasibility of our methods.
         
        
            Keywords : 
image segmentation; image sequences; transforms; SIFT; automatic image stitching; deformation propagation; image mosaic; image sequence; optimal partitions; scale invariant feature transform; Brightness; Cameras; Computer graphics; Computer vision; Feature extraction; Image databases; Image sequences; Pixel; Radiometry; Spatial databases; SIFT; deformation propagation; image mosaic;
         
        
        
        
            Conference_Titel : 
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-3530-2
         
        
            Electronic_ISBN : 
978-1-4244-3531-9
         
        
        
            DOI : 
10.1109/KAMW.2008.4810624