Abstract
In this paper, we present a novel two-dimensional (2D) shape context preserving image manipulation approach which constructs and manipulates a 2D mesh with a new differential mesh editing algorithm. We introduce a novel shape context descriptor and integrate it into the deformation framework, facilitating shape-preserving deformation for 2D anatomical illustrations. Our new scheme utilizes an analogy based shape transfer technique in order to learn shape styles from reference images. Experimental results show that visually plausible deformation can be quickly generated from an existing example at interactive frame rates. An experienced artist has evaluated our approach and his feedback is quite encouraging.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 114-126 |
| Number of pages | 13 |
| Journal | Computer Graphics Forum |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2009 |
| Externally published | Yes |
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Keywords
- Anatomical illustration
- Illustrative visualization
- Shape context
- Shape deformation
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Shape context preserving deformation of 2D anatomical illustrations. / Chen, Wei; Liang, Xiao; Maciejewski, Ross; Ebert, David S.
In: Computer Graphics Forum, Vol. 28, No. 1, 03.2009, p. 114-126.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Shape context preserving deformation of 2D anatomical illustrations
AU - Chen, Wei
AU - Liang, Xiao
AU - Maciejewski, Ross
AU - Ebert, David S.
PY - 2009/3
Y1 - 2009/3
N2 - In this paper, we present a novel two-dimensional (2D) shape context preserving image manipulation approach which constructs and manipulates a 2D mesh with a new differential mesh editing algorithm. We introduce a novel shape context descriptor and integrate it into the deformation framework, facilitating shape-preserving deformation for 2D anatomical illustrations. Our new scheme utilizes an analogy based shape transfer technique in order to learn shape styles from reference images. Experimental results show that visually plausible deformation can be quickly generated from an existing example at interactive frame rates. An experienced artist has evaluated our approach and his feedback is quite encouraging.
AB - In this paper, we present a novel two-dimensional (2D) shape context preserving image manipulation approach which constructs and manipulates a 2D mesh with a new differential mesh editing algorithm. We introduce a novel shape context descriptor and integrate it into the deformation framework, facilitating shape-preserving deformation for 2D anatomical illustrations. Our new scheme utilizes an analogy based shape transfer technique in order to learn shape styles from reference images. Experimental results show that visually plausible deformation can be quickly generated from an existing example at interactive frame rates. An experienced artist has evaluated our approach and his feedback is quite encouraging.
KW - Anatomical illustration
KW - Illustrative visualization
KW - Shape context
KW - Shape deformation
UR - http://www.scopus.com/inward/record.url?scp=60849098220&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=60849098220&partnerID=8YFLogxK
U2 - 10.1111/j.1467-8659.2008.01300.x
DO - 10.1111/j.1467-8659.2008.01300.x
M3 - Article
AN - SCOPUS:60849098220
VL - 28
SP - 114
EP - 126
JO - Computer Graphics Forum
JF - Computer Graphics Forum
SN - 0167-7055
IS - 1
ER -