Title :
Extracting regions of symmetry
Author :
Gupta, Abhinav ; Prasad, V. Shiv Naga ; Davis, Larry S.
Author_Institution :
Lab. of Perceptual Interfaces & Reality, Maryland Univ., College Park, MD, USA
Abstract :
This paper presents an approach for extending the normalized-cut (n-cut) segmentation algorithm to find symmetric regions present in natural images. We use an existing algorithm to quickly detect possible symmetries present in an image. The detected symmetries are then individually verified using the modified n-cut algorithm to eliminate spurious detections. The weights of the n-cut algorithm are modified so as to include both symmetric and spatial affinities. A global parameter is defined to model the tradeoff between spatial coherence and symmetry. Experimental results indicate that symmetric quality measure for a region segmented by our algorithm is a good indicator for the significance of the principal axis of symmetry.
Keywords :
feature extraction; image segmentation; object detection; natural images; normalized-cut segmentation algorithm; spatial coherence; spurious detection elimination; symmetry detection; symmetry region extraction; Computer interfaces; Educational institutions; Face detection; Image edge detection; Image segmentation; Laboratories; Pixel; Shape; Spatial coherence; Voting;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530346