Visual salience-guided mesh decomposition

Hsueh Yi Sean Lin; Hong Yuan Mark Liao; Chih_Ching Lin

doi:10.1109/MMSP.2004.1436560

Visual salience-guided mesh decomposition

Hsueh Yi Sean Lin^*, Hong Yuan Mark Liao, Chih_Ching Lin

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

In this paper, we propose a novel mesh decomposition scheme called "visual salience-guided mesh decomposition". The concept of part salience is originated from cognitive psychology and it asserts the salience of a part can be determined by (at least) three factors: the protrusion, the boundary strength, and the relative size of a part. We try to convert these "conceptual" rules into "real" computational processes and then use them to "guide" a 3D mesh decomposition process. The experimental results have shown that the proposed scheme is indeed effective and powerful in decomposing a 3D mesh into significant components.

Original language	English
Title of host publication	2004 IEEE 6th Workshop on Multimedia Signal Processing
Pages	331-334
Number of pages	4
DOIs	https://doi.org/10.1109/MMSP.2004.1436560
State	Published - 1 Dec 2004
Event	2004 IEEE 6th Workshop on Multimedia Signal Processing - Siena, Italy Duration: 29 Sep 2004 → 1 Oct 2004

Publication series

Name	2004 IEEE 6th Workshop on Multimedia Signal Processing

Conference

Conference	2004 IEEE 6th Workshop on Multimedia Signal Processing
Country	Italy
City	Siena
Period	29/09/04 → 1/10/04

Access to Document

10.1109/MMSP.2004.1436560

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title = "Visual salience-guided mesh decomposition",

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AU - Lin, Chih_Ching

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AB - In this paper, we propose a novel mesh decomposition scheme called "visual salience-guided mesh decomposition". The concept of part salience is originated from cognitive psychology and it asserts the salience of a part can be determined by (at least) three factors: the protrusion, the boundary strength, and the relative size of a part. We try to convert these "conceptual" rules into "real" computational processes and then use them to "guide" a 3D mesh decomposition process. The experimental results have shown that the proposed scheme is indeed effective and powerful in decomposing a 3D mesh into significant components.

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