​A Survey of How Computer Assists Drawing

PhD Qualifying Examination


Title: "​A Survey of How Computer Assists Drawing"

by

Mr. Qingkun SU


Abstract:

Drawing is a popular art form for expressing the creators' ideas and 
conceptions, however it is hard to master. With the increasing popularity of 
touch devices and the rapid development of human-computer interaction 
techniques, drawing assistant tools are becoming more necessary, especially for 
novice users. In this survey, we review three categories of drawing assistant 
tools: suggestive tools, beautification tools and synthesis tools. Suggestive 
tools provide drawing guidance or suggestions to help users learn skills 
(learning tools) or quickly create plausible drawings (supporting tools). The 
suggestions may be prepared manually or generated automatically from images or 
drawings. Beautification tools take users’ freehand sketches as input and 
correct or beautify them through satisfying geometric constraints (low-level 
constraints) or referring to images/templates (high level constraints). 
Synthesis tools focus on achieving more complex effects or styles when the 
input information is poor. It mainly includes two branches: simulation 
synthesis, which finds a rendering model to simulate the effects, and 
data-driven synthesis, which extracts the style or effect information from a 
dataset and transfer it to the users’ input. We conclude by discussing two 
interesting research directions for future work.


Date:			Friday, 25 August 2017

Time:                  	10:00am - 12:00noon

Venue:                  Room 2610
                         Lifts 31/32

Committee Members:	Prof. Chiew-Lan Tai (Supervisor)
 			Prof. Huamin Qu (Chairperson)
 			Dr. Xiaojuan Ma
 			Prof. Long Quan


**** ALL are Welcome ****