Partial 3D Shape Retrieval Using Local Features Based on Multiple View Points

DOI
  • Kosaka Ryuichi
    Dept. of Computer Science and Engineering, Toyohashi University of Technology
  • Tatsuma Atsushi
    Dept. of Computer Science and Engineering, Toyohashi University of Technology
  • Aono Masaki
    Dept. of Computer Science and Engineering, Toyohashi University of Technology

Bibliographic Information

Other Title
  • 複数視点画像の局所特徴量を用いた三次元物体の部分検索手法(画像・メディア処理技術,および一般)
  • 複数視点画像の局所特徴量を用いた三次元物体の部分検索手法
  • フクスウ シテン ガゾウ ノ キョクショ トクチョウリョウ オ モチイタ サンジゲン ブッタイ ノ ブブン ケンサク シュホウ

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Abstract

Research of 3D shape retrieval has been popular recently. However, only small amount of research has focused on partial 3D shape retrieval. In this paper, we propose new features KAZE+VLAD for partial 3D shape retrieval. In KAZE+VLAD, firstly, extracts the KAZE as local features from Depth Buffer images generated from multiple view points of the 3D Object. Secondly, integrates local features into features of 3D object by encoding method. We used VLAD for encoding method. We used a modified Princeton Segmentation Benchmark, and conducted comparative experiments between our proposed and previous features.

Journal

  • ITE Technical Report

    ITE Technical Report 37.56 (0), 23-26, 2013

    The Institute of Image Information and Television Engineers

Keywords

Details

  • CRID
    1390282679504839808
  • NII Article ID
    110009686743
  • NII Book ID
    AN1059086X
  • DOI
    10.11485/itetr.37.56.0_23
  • ISSN
    24241970
    13426893
  • NDL BIB ID
    025140335
  • Text Lang
    ja
  • Data Source
    • JaLC
    • NDL
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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