Title :
Sketching by perceptual grouping
Author :
Yonggang Qi ; Jun Guo ; Yi Li ; Honggang Zhang ; Tao Xiang ; Yi-Zhe Song
Author_Institution :
Sch. of Inf. & Commun. Eng., BUPT, Beijing, China
Abstract :
Sketch is used for rendering the visual world since prehistoric times, and has become ubiquitous nowadays with the increasing availability of touchscreens on portable devices. However, how to automatically map images to sketches, a problem that has profound implications on applications such as sketch-based image retrieval, still remains open. In this paper, we propose a novel method that draws a sketch automatically from a single natural image. Sketch extraction is posed within an unified contour grouping framework, where perceptual grouping is first used to form contour segment groups, followed by a group-based contour simplification method that generate the final sketches. In our experiment, for the first time we pose sketch evaluation as a sketch-based object recognition problem and the results validate the effectiveness of our system over the state-of-the-arts alternatives.
Keywords :
image retrieval; object recognition; rendering (computer graphics); contour segment groups; group-based contour simplification method; perceptual grouping; rendering; sketch extraction; sketch-based image retrieval; sketch-based object recognition problem; unified contour grouping framework; Conferences; Detectors; Forecasting; Image edge detection; Image segmentation; Lead; Pattern analysis; Contour grouping; Sketch; Sketch-based retrieval;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738056