Orientation code matching for robust object search

被引:0
|
作者
Ullah, F [1 ]
Kaneko, S [1 ]
Igarashi, S [1 ]
机构
[1] Hokkaido Univ, Sapporo, Hokkaido 0608628, Japan
关键词
object search; matching; robustness; orientation code; object tracking;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new method for object search is proposed. Conventional template matching schemes tend to fail in presence of irregularities and ill-conditions like background variations, illumination fluctuations resulting from shadowing or highlighting etc. The proposed scheme is robust against such irregularities in the real world scenes since it is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than the gray levels directly. A probabilistic model for robust matching is given and verified by real image data. Experimental results for real world scenes demonstrate the effectiveness of the proposed method for object search in the presence of different potential causes of mismatches.
引用
收藏
页码:999 / 1006
页数:8
相关论文
共 50 条
  • [31] Realtime and robust object matching with a large number of templates
    Hong, Chaoqun
    Zhu, Jianke
    Yu, Jun
    Cheng, Jun
    Chen, Xuhui
    MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (03) : 1459 - 1480
  • [32] Efficient Object Matching Using Partial Dominant Orientation Descriptor
    Elboushaki, Abdessamad
    Hannane, Rachida
    Afdel, Karim
    Koutti, Lahcen
    2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGY AND ACCESSIBILITY (ICTA), 2015,
  • [33] Aspect orientation and object orientation of control application code for distributed control systems in TORERO
    Tangermann, Marcus
    Schwab, Christian
    Lueder, Arndt
    ETFA 2005: 10TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 1, PTS 1 AND 2, PROCEEDINGS, 2005, : 823 - 830
  • [34] Integrated intensity, orientation code and spatial information for robust tracking
    Zhang, Xuguang
    Sun, Honghai
    Wang, Yanjie
    ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 1842 - 1846
  • [35] Distributed Feature Matching for Robust Object Localization in Robotic Manipulation
    Singh, Puran
    Rattan, Munish
    Grewal, Narwant Singh
    Aggarwal, Geetika
    IEEE ACCESS, 2024, 12 : 161679 - 161687
  • [36] Efficient Object Instance Search Using Fuzzy Objects Matching
    Yu, Tan
    Wu, Yuwei
    Bhattacharjee, Sreyasee
    Yuan, Junsong
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 4320 - 4326
  • [37] Object matching algorithms using robust Hausdorff distance measures
    Sim, DG
    Kwon, OK
    Park, RH
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1999, 8 (03) : 425 - 429
  • [38] Robust Keypoint Matching for Three Dimensional Scenes and Object Recognition
    Koksal, Ali
    Uzyildirim, Furkan Eren
    Ozuysal, Mustafa
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [39] Robust object-based watermarking using feature matching
    Pham, Viet-Quoc
    Miyaki, Takashi
    Yamasaki, Toshihiko
    Aizawa, Kiyoharu
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (07): : 2027 - 2034
  • [40] Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
    Goodwin, Walter
    Vaze, Sagar
    Havoutis, Ioannis
    Posner, Ingmar
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2022, 2022, : 11138 - 11144