Graphics Group, Computer Science Department, The University of Auckland

Department of Computer Science | University of Auckland

----Update the Publication to GG database----

Category of Publication	Selct from the dropdown list

Year of Publication	Select from the dropdown list

Month of Publication	Selct from the dropdown list

Authors	List of authors, you can choose multiple authors by using "ctrl + mouse left clike" from the current and former members lists
	Current Member: Former Member:
Title	Just the publication title, used in the "basic" view. *No html tags please*
	Fluid Sketching: Continuous Recognition and Morphing of Simple Hand-Drawn Shapes
Details	Give the full details here, eg authors, title, publication/conference name, page number, date, etc. Please use the standard "References" format. This is for the "detail" view. * You can use <b> and <i> here *
	Fluid Sketching: Continuous Recognition and Morphing of Simple Hand-Drawn Shapes. James Arvo and Kevin Novins. ACM Symposium on User Interface Software and Technology (UIST) '00, pp. 73-80, ACM Press, November 2000. <p> <p> <P> Press <A HREF="http://www.cs.auckland.ac.nz/~novins/Publications/Arvo00b.ps.gz">here</A> to download the paper as a compressed postscript document (351Kb).
All remaining fields are optional, but you should fill out as many as possible.
URL	Give the full* URL here, eg http://www.cs or ftp://ftp.cs*

Keywords	Keywords to help searching

Abstract	Use <p> to start each paragraph, plus <b>* and <i> for format*
	We describe a new sketching interface in which shape recognition and morphing are tightly coupled. Raw input strokes are continuously morphed into ideal geometric shapes, even before the pen is lifted. By means of smooth and continual shape transformations the user is apprised of recognition progress and the appearance of the final shape, yet always retains a sense of control over the process. At each time t the system uses the trajectory traced out thus far by the pen coupled with the current appearance of the time-varying shape to classify the sketch as one of several pre-defined basic shapes. The recognition operation is performed using shape-specific fits based on least-squares or relaxation, which are continuously updated as the user draws. We describe the time-dependent transformation of the sketch, beginning with the raw pen trajectory, using a family of first-order ordinary differential equations that depend on time and the current shape of the sketch. Using this formalism, we describe several possible behaviors that result by varying the relative significance of new and old portions of a stroke, changing the "viscosity" of the morph, and enforcing different end conditions. A preliminary user study suggests that the new interface is particularly effective for rapidly constructing diagrams consisting of simple shapes.
	Please check all the information you filled carefully before updating it.

webmaster Saturday, December 21st 2024

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