4.4 Article

Evaluation for Small Visual Difference Between Conforming Meshes on Strain Field

期刊

出版社

SCIENCE PRESS
DOI: 10.1007/s11390-009-9198-3

关键词

3D conforming meshes; mesh comparison; perception; strain fields

资金

  1. Engineering and Physical Sciences Research Council [EP/E034357/1] Funding Source: researchfish
  2. EPSRC [EP/E034357/1] Funding Source: UKRI

向作者/读者索取更多资源

This paper gives a method of quantifying small visual differences between 3D mesh models with conforming topology, based on the theory of strain fields. Strain field is a geometric quantity in elasticity which is used to describe the deformation of elastomer. In this paper we consider the 3D models as objects with elasticity. The further demonstrations are provided: the first is intended to give the reader a visual impression of how our measure works in practice; and the second is to give readers a visual impression of how our measure works in evaluating filter algorithms. Our experiments show that our difference estimates are well correlated with human perception of differences. This work has applications in the evaluation of 3D mesh watermarking, 3D mesh compression reconstruction, and 3D mesh filtering.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Software Engineering

Local-to-global mesh saliency

Ran Song, Yonghuai Liu, Ralph R. Martin, Karina Rodriguez Echavarria

VISUAL COMPUTER (2018)

Article Computer Science, Software Engineering

Capture of hair geometry using white structured light

Yin Chen, Zhan Song, Shuai Lin, Ralph R. Martin, Zhi-Quan Cheng

COMPUTER-AIDED DESIGN (2018)

Article Computer Science, Software Engineering

Parametric modeling of 3D human body shape-A survey

Zhi-Quan Cheng, Yin Chen, Ralph R. Martin, Tong Wu, Zhan Song

COMPUTERS & GRAPHICS-UK (2018)

Article Computer Science, Software Engineering

An evaluation of canonical forms for non-rigid 3D shape retrieval

David Pickup, Juncheng Liu, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Zhiquan Cheng, Zhouhui Lian, Sipin Nie, Longcun Jin, Gil Shamai, Yusuf Sahillioglu, Ladislav Kavan

GRAPHICAL MODELS (2018)

Article Engineering, Electrical & Electronic

A Saliency Dispersion Measure for Improving Saliency-Based Image Quality Metrics

Wei Zhang, Ralph R. Martin, Hantao Liu

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)

Article Computer Science, Artificial Intelligence

A Comparative Study of Algorithms for Realtime Panoramic Video Blending

Zhe Zhu, Jiaming Lu, Minxuan Wang, Songhai Zhang, Ralph R. Martin, Hantao Liu, Shi-Min Hu

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Computer Science, Information Systems

Learning guidelines for automatic indoor scene design

Yuan Liang, Song-Hai Zhang, Ralph Robert Martin

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Article Mathematics, Applied

CAD MODEL SIMPLIFICATION ERROR ESTIMATION FOR ELECTROSTATICS PROBLEMS

N. Rahimi, P. Kerfriden, F. C. Lancbein, R. R. Martin

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2018)

Article Computer Science, Software Engineering

Parametric 3D modeling of a symmetric human body

Yin Chen, Zhan Song, Weiwei Xu, Ralph R. Martin, Zhi-Quan Cheng

COMPUTERS & GRAPHICS-UK (2019)

Article Mathematics, Applied

A Numerical Framework to Simplify CAD Models for Reliable Estimates of Physical Quantities

Ming Li, Jingzhi Li, Ralph Martina, Kai Zhang

ADVANCES IN APPLIED MATHEMATICS AND MECHANICS (2019)

Article Computer Science, Artificial Intelligence

Two-Layer QR Codes

Tailing Yuan, Yili Wang, Kun Xu, Ralph R. Martin, Shi-Min Hu

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Article Computer Science, Software Engineering

Visual complexity of shapes: a hierarchical perceptual learning model

Lingchen Dai, Kang Zhang, Xianjun Sam Zheng, Ralph R. Martin, Yina Li, Jinhui Yu

Summary: Understanding how people perceive the visual complexity of shapes has theoretical and practical implications, with one school focusing on local features and another emphasizing global characteristics. Inspired by neuroscience, a model incorporating both local and global features is 92% in agreement with human ratings. It is also consistent with the hierarchical perceptual learning theory on how different layers of neurons contribute to the perception of visual shape complexity.

VISUAL COMPUTER (2022)

Article Computer Science, Software Engineering

Can attention enable MLPs to catch up with CNNs?

Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu

COMPUTATIONAL VISUAL MEDIA (2021)

Article Computer Science, Software Engineering

PCT: Point cloud transformer

Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu

Summary: This paper introduces a novel framework named Point Cloud Transformer (PCT) for point cloud learning, based on Transformer and enhanced by farthest point sampling and nearest neighbor search for better capturing local context. Extensive experiments demonstrate that the PCT achieves state-of-the-art performance on shape classification, part segmentation, semantic segmentation, and normal estimation tasks.

COMPUTATIONAL VISUAL MEDIA (2021)

Article Computer Science, Software Engineering

Livestock detection in aerial images using a fully convolutional network

Liang Han, Pin Tao, Ralph R. Martin

COMPUTATIONAL VISUAL MEDIA (2019)

暂无数据