TY - GEN
T1 - Landscape painterly rendering based on observation
AU - Kang, Dongwann
AU - Yoon, Kyunghyun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Painterly rendering is one of Non-Photorealisitic rendering skills that seems similar to paintings using 2D or 3D model data. We can notice from paintings that painters observe the scene in a short or long time when they draw. However, there are some limits in previous works using single image. They cannot emphasize attributes of objects such as motion. In this paper, we use observative information. For this, we first analyze motion, color, and position information from the inputted scene. From this information, we classify the objects. And then rendering depend on analyzed information. This skill has an advantage to simulate landscape paintings.
AB - Painterly rendering is one of Non-Photorealisitic rendering skills that seems similar to paintings using 2D or 3D model data. We can notice from paintings that painters observe the scene in a short or long time when they draw. However, there are some limits in previous works using single image. They cannot emphasize attributes of objects such as motion. In this paper, we use observative information. For this, we first analyze motion, color, and position information from the inputted scene. From this information, we classify the objects. And then rendering depend on analyzed information. This skill has an advantage to simulate landscape paintings.
KW - Non-Photorealistic Rendering
KW - Observation
KW - Painterly Rendering
UR - http://www.scopus.com/inward/record.url?scp=85050987506&partnerID=8YFLogxK
U2 - 10.1109/EECS.2017.66
DO - 10.1109/EECS.2017.66
M3 - Conference contribution
AN - SCOPUS:85050987506
T3 - Proceedings - 2017 European Conference on Electrical Engineering and Computer Science, EECS 2017
SP - 318
EP - 325
BT - Proceedings - 2017 European Conference on Electrical Engineering and Computer Science, EECS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 European Conference on Electrical Engineering and Computer Science, EECS 2017
Y2 - 17 November 2017 through 19 November 2017
ER -