Conditional random field-based mesh saliency

Song, Ran and Liu, Yonghuai and Zhao, Yitian and Martin, Ralph and Rosin, Paul (2012) Conditional random field-based mesh saliency. In: ICIP, Sept. 30 2012-Oct. 3 2012, Orlando, FL, USA.

Full content URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

We propose a new method for detecting mesh saliency, a reflection of perception-based regional importance for 3D meshes. The basic idea is to incorporate the Conditional Random Field (CRF) framework with a saliency detection process. We first produce a multi-scale representation for a mesh. Then, a CRF is designed to robustly detect salient regions utilising neighbourhood consistency. By inferring the CRF via belief propagation algorithm, we actually make use of the global statistic information in the saliency detection process. Experimental results demonstrate the robustness and the effectiveness of the proposed method.

Keywords:conditional random field, mesh saliency
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:13283
Deposited On:05 Feb 2014 18:43

Repository Staff Only: item control page