JOURNAL ARTICLE

Visual saliency guided textured model simplification

Bailin YangFrederick W. B. LiXun WangMingliang XuXiaohui LiangZhaoyi JiangYanhui Jiang

Year: 2015 Journal:   The Visual Computer Vol: 32 (11)Pages: 1415-1432   Publisher: Springer Science+Business Media

Abstract

Mesh geometry can be used to model both object shape and details. If texture maps are involved, it is common to let mesh geometry mainly model object shapes and let the texture maps model the most object details, optimising data size and complexity of an object. To support efficient object rendering and transmission, model simplification can be applied to reduce the modelling data. However, existing methods do not well consider how object features are jointly represented by mesh geometry and texture maps, having problems in identifying and preserving important features for simplified objects. To address this, we propose a visual saliency detection method for simplifying textured 3D models. We produce good simplification results by jointly processing mesh geometry and texture map to produce a unified saliency map for identifying visually important object features. Results show that our method offers a better object rendering quality than existing methods.

Keywords:
Rendering (computer graphics) Computer science Texture mapping Artificial intelligence Computer vision Texture atlas Computer graphics Texture synthesis Object (grammar) Computer graphics (images) Object model Bidirectional texture function Visualization Graphics Image texture Image processing Image (mathematics)

Metrics

13
Cited By
5.49
FWCI (Field Weighted Citation Impact)
47
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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