TY - GEN
T1 - Mutual segmentation with level sets
AU - Riklin-Raviv, Tammy
AU - Sochen, Nir
AU - Kiryati, Nahum
PY - 2006
Y1 - 2006
N2 - We suggest a novel variational approach for mutual segmentation of two images of the same object. The images are taken from different views, related by projective transformation. Each of the two images may not provide sufficient information for correct object-background delineation. The emerging segmentation of the object in each view provides a dynamic prior for the segmentation of the other image. The foundation of the proposed method is a unified level-set framework for region and edge based segmentation, associated with a shape similarity term. The dissimilarity between the two shape representations accounts for excess or deficient parts and is invariant to planar projective transformation. The suggested algorithm extracts the object in both images, correctly recovers its boundaries, and determines the homography between the two object views.
AB - We suggest a novel variational approach for mutual segmentation of two images of the same object. The images are taken from different views, related by projective transformation. Each of the two images may not provide sufficient information for correct object-background delineation. The emerging segmentation of the object in each view provides a dynamic prior for the segmentation of the other image. The foundation of the proposed method is a unified level-set framework for region and edge based segmentation, associated with a shape similarity term. The dissimilarity between the two shape representations accounts for excess or deficient parts and is invariant to planar projective transformation. The suggested algorithm extracts the object in both images, correctly recovers its boundaries, and determines the homography between the two object views.
UR - https://www.scopus.com/pages/publications/33845532566
U2 - 10.1109/CVPRW.2006.142
DO - 10.1109/CVPRW.2006.142
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AN - SCOPUS:33845532566
SN - 0769526462
SN - 9780769526461
T3 - 2006 Conference on Computer Vision and Pattern Recognition Workshops
BT - 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006
PB - IEEE Computer Society
T2 - 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006
Y2 - 17 June 2006 through 22 June 2006
ER -