3D Content-Based Search Based on 3D Krawtchouk Moments

Citations Over TimeTop 10% of 2006 papers

Abstract

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.

Related Papers

• → A Benchmark Test Structure for Experimental Dynamic Substructuring(2011)9 cited
• → Solutions to the Third Benchmark Control Problem(1991)3 cited
• Theoretical Analysis of the Benchmark for Choosing Manipulative Instruments of Monetary Policies(2009)
• → Exploring disk performance benchmarks(2017)
• → Support Structure Performance Benchmark(2023)