GRAPH-BASED FEATURE MATCHING USING DESCRIPTIVE AND RELATIONAL PARAMETERS

被引：0
|
作者：
HELLWICH, O [1 ]
FAIG, W [1 ]
机构：
[1] UNIV NEW BRUNSWICK,DEPT SURVEYING ENGN,FREDERICTON E3B 5A3,NB,CANADA
来源：
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING | 1994年 / 60卷 / 04期
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
A graph-based matching algorithm for edge features was developed. It conducts a breadth-first search in two next-neighbor graphs starting at hypothetically matched feature pairs. A match is established by comparing feature properties using a match function. Main advantage of the matching algorithm is its applicability to various domains, such as stereo vision or matching images and GIS data. Digitized stereo image pairs for the investigation of automobile accidents are used to illustrate the method. For objects with distinctive edges, 80 to 90 percent of the resultant feature pairs were found to be correct.
引用
收藏
页码：443 / 450
页数：8
相关论文
共 50 条
  • [41] GRAPH-BASED CONCEPT DISCOVERY IN MULTI RELATIONAL DATA
    Kavurucu, Yusuf
    Mutlu, Alev
    Ensari, Tolga
    2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE), 2016, : 274 - 278
  • [42] Graph-based Image Completion Using Patch Offsets and Structure Feature
    Xue, Weiwei
    Zhang, Rong
    FIFTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2013), 2014, 9069
  • [43] Graph-based Iterative Hybrid Feature Selection
    Zhong, ErHeng
    Xie, Sihong
    Fan, Wei
    Ren, Jiangtao
    Peng, Jing
    Zhang, Kun
    ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2008, : 1133 - +
  • [44] Localized Graph-Based Feature Selection for Clustering
    Zhang, Zhihong
    Hancock, Edwin R.
    IMAGE ANALYSIS AND RECOGNITION, PT I, 2012, 7324 : 1 - 10
  • [45] Feature selection for graph-based image classifiers
    Le Saux, B
    Bunke, H
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, 2005, 3523 : 147 - 154
  • [46] Feature grouping and selection: A graph-based approach
    Zheng, Ling
    Chao, Fei
    Mac Parthalain, Neil
    Zhang, Defu
    Shen, Qiang
    INFORMATION SCIENCES, 2021, 546 : 1256 - 1272
  • [47] Infinite Feature Selection: A Graph-based Feature Filtering Approach
    Roffo, Giorgio
    Melzi, Simone
    Castellani, Umberto
    Vinciarelli, Alessandro
    Cristani, Marco
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (12) : 4396 - 4410
  • [48] A Graph-based Blocking Approach for Entity Matching Using Contrastively Learned Embeddings
    Mugeni, John Bosco
    Amagasa, Toshiyuki
    APPLIED COMPUTING REVIEW, 2022, 22 (04): : 37 - 46
  • [49] Graph-based query reformulation system for descriptive queries of jargon words using definitions
    Kim, Bosung
    Choi, Hyewon
    Yu, Haeun
    Ko, Youngjoong
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 214
  • [50] An Efficient Graph-Based Algorithm for Fingerprint Representation and Matching
    Chen, Xiaoguang
    Wang, Lin
    Li, Mingyan
    PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 : 1019 - 1029
12345