TY - GEN
T1 - Pic2Geom
T2 - 18th Pacific-Rim Conference on Multimedia 2017
AU - Ng, Ruisheng
AU - Wong, Lai Kuan
AU - See, John
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/5/10
Y1 - 2018/5/10
N2 - Low poly rendering has always been a popular form of art in the art and design community, where the artist draws each polygon (usually triangle) on the image individually. Several state-of-the-art methods were proposed to overcome the laborious process of manual low poly rendering, by rendering the low poly shapes automatically. However, results generated by the aforementioned methods were either not visually pleasing or the algorithms are computationally slow. In this paper, we present Pic2Geom, a fast algorithm that generates low poly geometric art with adequate quality, at low computational cost. The proposed algorithm utilizes edge detection, saliency detection and face detection to generate a set of seed points, which is then used by Delaunay triangulation to generate the low poly abstraction. Comparison with state-of-the-arts approaches demonstrate the efficiency and effectiveness of our algorithm in producing a quality geometric abstraction of a given photograph.
AB - Low poly rendering has always been a popular form of art in the art and design community, where the artist draws each polygon (usually triangle) on the image individually. Several state-of-the-art methods were proposed to overcome the laborious process of manual low poly rendering, by rendering the low poly shapes automatically. However, results generated by the aforementioned methods were either not visually pleasing or the algorithms are computationally slow. In this paper, we present Pic2Geom, a fast algorithm that generates low poly geometric art with adequate quality, at low computational cost. The proposed algorithm utilizes edge detection, saliency detection and face detection to generate a set of seed points, which is then used by Delaunay triangulation to generate the low poly abstraction. Comparison with state-of-the-arts approaches demonstrate the efficiency and effectiveness of our algorithm in producing a quality geometric abstraction of a given photograph.
KW - Geometric abstraction
KW - Image abstraction
KW - Low poly rendering
UR - http://www.scopus.com/inward/record.url?scp=85047471829&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-77383-4_36
DO - 10.1007/978-3-319-77383-4_36
M3 - Conference contribution
AN - SCOPUS:85047471829
SN - 9783319773827
T3 - Lecture Notes in Computer Science
SP - 368
EP - 377
BT - Advances in Multimedia Information Processing. PCM 2017
PB - Springer
Y2 - 28 September 2017 through 29 September 2017
ER -