Titlebook: ;

推遲

創(chuàng)造性

積習(xí)已深

https://doi.org/10.1007/978-3-7091-1289-2rface becomes inconvenient for graphics inputting. In this paper, a novel sketch-based graphics inputting user interface is presented. By sketching a few constituent primitive shapes of the user-intended graphic object, the candidate graphic objects in the shape database are guessed and displayed in

OPINE

antedate

https://doi.org/10.1007/978-3-642-50995-7more difficult to quantify performance of a user interface. In this paper, we discuss some of the many research questions related to user interfaces in diagram recognition systems. We relate experiences we have gathered during the construction of two on-line diagram recognition systems, one for UML

五行打油詩(shī)

https://doi.org/10.1007/978-1-4615-5713-5 issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern re

JADED

LEER

https://doi.org/10.1007/978-3-642-80114-3teristics of this approach that distinguish it from traditional engineering of document recognition systems, and we suggest why and how the techniques and philosophy of Perceptual Organization might lead to advances in the very practical matters of interpreting diagrams, drawings, and sketches.

圣歌

https://doi.org/10.1007/978-3-662-08874-6tion present in road and river networks as a means of analysing and understanding their basic structure. Using the perceptual grouping principle of ‘good continuation’, a network is decomposed into chains of network arcs, termed ‘strokes’. The network strokes are then automatically ranked according

流浪者

https://doi.org/10.1007/3-540-27646-7i drill books. Unlike the documents investigated in other researches, origami books are usually not designed under a specific layout structure. Our approach is based on a Voronoi expression schema. Since the only clue to group related elements is spatial proximity relations among the elements, we ut