TY - JOUR
T1 - Salient region preservation for image deformation
AU - Zhang, Yong
AU - Lai, Jianhuang
AU - Yuen, Pong C.
AU - Xie, Xiaohua
N1 - Publisher Copyright:
© 2014 SPIE and IS&T.
PY - 2014/11/1
Y1 - 2014/11/1
N2 - We present an interactive image deformation method which preserves the local shapes of salient objects in the concerned image during the deformation. The proposed method falls into the moving least squares (MLS) framework, but notably differs from the original MLS deformation method. First, a saliency-related distance is developed to replace the original Euclidean distance in the weight definition. Second, the original affine matrix is decomposed into a single rotation matrix and a symmetric matrix by using a singular value decomposition, then the free parameters of these matrices are interpolated according to the saliency information. Furthermore, for the line-based MLS deformation, the closed-form solution of weight cannot be found directly when using the proposed saliency-based distance. To address this problem, we propose a method using an exponential transformation to regulate the weight where the regulation factor is also correlated to saliency information. All these revisions lead a saliency-sensitive mapping which creates a deformation change in the nonvital parts of image while preserving the local shapes of salient parts. Experimental results show that the proposed deformation outperforms the original MLS deformation in terms of visual performance.
AB - We present an interactive image deformation method which preserves the local shapes of salient objects in the concerned image during the deformation. The proposed method falls into the moving least squares (MLS) framework, but notably differs from the original MLS deformation method. First, a saliency-related distance is developed to replace the original Euclidean distance in the weight definition. Second, the original affine matrix is decomposed into a single rotation matrix and a symmetric matrix by using a singular value decomposition, then the free parameters of these matrices are interpolated according to the saliency information. Furthermore, for the line-based MLS deformation, the closed-form solution of weight cannot be found directly when using the proposed saliency-based distance. To address this problem, we propose a method using an exponential transformation to regulate the weight where the regulation factor is also correlated to saliency information. All these revisions lead a saliency-sensitive mapping which creates a deformation change in the nonvital parts of image while preserving the local shapes of salient parts. Experimental results show that the proposed deformation outperforms the original MLS deformation in terms of visual performance.
KW - Image deformation
KW - Moving least squares
KW - Saliency map
KW - Shape preservation
UR - http://www.scopus.com/inward/record.url?scp=84920540362&partnerID=8YFLogxK
U2 - 10.1117/1.JEI.23.6.063012
DO - 10.1117/1.JEI.23.6.063012
M3 - Journal article
AN - SCOPUS:84920540362
SN - 1017-9909
VL - 23
JO - Journal of Electronic Imaging
JF - Journal of Electronic Imaging
IS - 6
M1 - 063012
ER -