Evaluating and Comparing of 3D Shape Descriptors for Object Recognition

被引：0
|
作者：
Ceron, Alexander [1 ]
Prieto, Flavio [1 ]
机构：
[1] Univ Nacl Colombia, Bogota, Colombia
来源：
ADVANCES IN VISUAL COMPUTING, PT II | 2013年 / 8034卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work we show the results of a system for object recognition by using depth data. It is based on shape descriptors and PCA reduction. For obtaining the results, we evaluated different combination of three descriptors that are suitable for this work: Spin Images, VFH (Viewpoint Feature Histogram) and NARF (Normal Aligned Radial Feature). In addition, we created a method for extracting the NARF descriptor in order to obtain a global descriptor. The results show that the combination of descriptors can be used for object recognition in a database composed of point clouds obtained with a RGB-D sensor.
引用
收藏
页码：484 / 492
页数：9
相关论文
共 50 条
  • [1] Good Appearance and 3D Shape Descriptors for Object Category Recognition
    Proenca, Pedro F.
    Gaspar, Filipe
    Dias, Miguel Sales
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2015, 24 (04)
  • [2] 3D object comparison based on shape descriptors
    Biasotti, S.
    Marini, S.
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2005, 23 (2-4) : 57 - 69
  • [3] 3D object recognition based on local descriptors
    Jakab, Marek
    Benesova, Wanda
    Racev, Marek
    INTELLIGENT ROBOTS AND COMPUTER VISION XXXII: ALGORITHMS AND TECHNIQUES, 2015, 9406
  • [4] 3D OBJECT IDENTIFICATION BASED ON GLOBAL SHAPE DESCRIPTORS
    Pristupa, A., V
    Lapatin, I. L.
    Zamyatin, A., V
    VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE, 2019, (48): : 57 - 66
  • [5] Learning Descriptors for Object Recognition and 3D Pose Estimation
    Wohlhart, Paul
    Lepetit, Vincent
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, : 3109 - 3118
  • [6] Combining Local Descriptors for 3D Object Recognition and Categorization
    Salgian, Andrea Selinger
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 3217 - 3220
  • [7] Combining 3D Shape and Color for 3D Object Recognition
    Brandao, Susana
    Costeira, Joao P.
    Veloso, Manuela
    IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016), 2016, 9730 : 481 - 489
  • [8] Density-based shape descriptors for 3D object retrieval
    Akgul, Ceyhun Burak
    Sankur, Bulent
    Schmitt, Francis
    Yemez, Yucel
    MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY, 2006, 4105 : 322 - 329
  • [9] 3D OBJECT TRACKING AND MOTION SHAPE RECOGNITION
    Amirgaliyev, Y. N.
    Nussipbekov, A. K.
    BULLETIN OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN, 2014, (02): : 21 - 24
  • [10] 3D Object Recognition Based on Improved Point Cloud Descriptors
    Wen, Weiwei
    Wen, Gongjian
    Hui, Bingwei
    Qiu, Shaohua
    TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018), 2018, 10806
12345