3D content-based search based on 3D Krawtchouk moments

被引：0
|
作者：
Mademlis, A. [1 ,2 ]
Axenopoulos, A. [1 ]
Daras, P. [1 ]
Tzovaras, D. [1 ]
Strintzis, M. G. [1 ,2 ]
机构：
[1] Informat & Telemat Inst, 1st Km Thermi Panorama Rd, Thessaloniki 57001, Greece
[2] Aristotle Univ Thessaloniki, Elect & Comp Engn Dept, Informat Proc Lab, Thessaloniki 54006, Greece
来源：
THIRD INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING, VISUALIZATION, AND TRANSMISSION, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper a novel method for 3D content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3D content based search tool and the very interesting results of research work done in the past on the performance of Krawtchouk moments and Krawtchouk moment invariants in image processing, Weighted 3D Krawtchouk moments are introduced for efficient 3D analysis which are suitable for content-based search and retrieval applications. The proposed method was tested on Princeton Shape Benchmark. Experiments have shown that the proposed method is superior in terms of precision-recall comparing with other well-known methods reported in the literature.
引用
收藏
页码：743 / 749
页数：7
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