2009
DOI: 10.1016/j.cag.2009.03.007
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2D shape morphing via automatic feature matching and hierarchical interpolation

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Cited by 32 publications
(19 citation statements)
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“…Yang et al [19] presented an intuitive 2D/3D shape deformation method according to the rigidity and stiffness of the object's material and the user can also tune the stiffness of the object during the manipulation. Afterwards, Yang et al [20], [21] proposed to manipulate the 2D shape via a topology-aware rigid grid, automatic feature matching and hierarchical interpolation [31]. Yu and Zhang [31] presented a novel framework for 2D shape deformation and image magnifying by incorporating topology preservation constraints to the deformation.…”
Section: Related Workmentioning
confidence: 99%
“…Yang et al [19] presented an intuitive 2D/3D shape deformation method according to the rigidity and stiffness of the object's material and the user can also tune the stiffness of the object during the manipulation. Afterwards, Yang et al [20], [21] proposed to manipulate the 2D shape via a topology-aware rigid grid, automatic feature matching and hierarchical interpolation [31]. Yu and Zhang [31] presented a novel framework for 2D shape deformation and image magnifying by incorporating topology preservation constraints to the deformation.…”
Section: Related Workmentioning
confidence: 99%
“…Besides the aforementioned approaches, there is also a great deal of work in the context of 2D shape morphing [19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…Previous works have mainly focused on two aspects: finding meaningful correspondence between "features" of two key shapes and producing smooth interpolated shapes according to "trajectories" along which the features, which are associated with the intermediate shapes, "flow" from one key shape to another. In turn, the meanings of feature and trajectory depend on the descriptions of the key shapes and consequently their geometrical and topological properties [18]. Generally, the process of feature correspondence involves the detection of the characteristic points and establishment of correspondence between the geometric features of the source and the target shapes.…”
Section: Related Workmentioning
confidence: 99%