NDLI: Content-aware model resizing with symmetry-preservation

Content Provider	Springer Nature Link
Author	Xiao, Chunxia Jin, Liqiang Nie, Yongwei Wang, Renfang Sun, Hanqiu Ma, Kwan Liu
Copyright Year	2014
Abstract	This paper presents a new model resizing approach intended for preservation of important geometric content and geometric symmetries of the model to be resized. We first extract high-level symmetric regions and other low-level salient regions from the input model. Then, we map the extracted low-level and high-level geometry information to a protective tetrahedral mesh around the model, and we define a symmetry-preserving and content-aware resizing function on the tetrahedral mesh using 3D mean value coordinates space deformation. By interpolating within the resized tetrahedral mesh, we obtain the final resizing results for the embedded model. Interactively defined user constraints are also incorporated into our framework to produce more desirable results. Our results show that the resized models preserve the geometric features of important regions in addition to the symmetric aspects of the original model, and eliminate the undesirable distortion in other less important regions.
Starting Page	155
Ending Page	167
Page Count	13
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	31
Issue Number	2
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-02-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Model resizing Symmetry-preservation Geometry saliency Protective mesh Space deformation Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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