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Current Member:
Chen, Ian
Lutteroth, Christof
Marks, Stefan
Wuensche, Burkhard
Former Member:
Anderson, C.
Cha, R
Chai, Kai
Chung, Jae
Cooksey, C.
Dansted, P.
Du, Lilin
Fong, Y.
Govender, Sashan
Gu, Simon
Halstead, M.
Hamer, Sam
Handley, S.
Hitchner, Lewis
Holmberg, Nathan
Huai, Yongjian
Huang, In-Tai
James, B.S.
Kao, Stephen
Kulka, Peter
Lawrence, Joshua
Lee, J.
Li, Bo
Manke, Felix
McCord, Glenn
Mcleod, K.
Meng, Mong
NG., G.
Nixon, Daniel
Novins, Kevin
Otte, Robin
Plumpton, D.
Poon, David
Roche, G.
Sanders, Michael
Schenke, Stefan
Shao, Parker
stu, a
Wang, Shyh-Chyu
Wells, K.
Wil, J
Willmott, A.
Wong, C.M.
Wylie, C.
Yang, Ting
Zhang, Rui
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The Morphological Cross-Dissolve
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The Morphological Cross-Dissolve. Kevin Novins and James Arvo. SIGGRAPH '99 Conference Abstracts and Applications, p. 257, New York: Association for Computing Machinery, August 1999. <p> <p> <P> Press <A HREF="http://www.cs.auckland.ac.nz/~novins/Publications/Novins99.ps.gz">here</A> to download the paper as a compressed postscript document (118Kb). <P> Press <A HREF="http://www.cs.caltech.edu/~arvo/mdissolve">here</A> to visit a web page, hosted at CalTech, with demonstration movies.
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We define a new operator, called the morphological cross-dissolve, that blends binary or grayscale images using mathematical image morphology. The operator gradually changes shapes in the source image until they match corresponding shapes in the target image. In the case of gray-scale images, the morphological cross-dissolve also changes gray levels while distorting shapes, and achieves more natural transitions than traditional cross-dissolves. The new operator is completely automatic, requiring no user-supplied feature lines or correspondences.
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