Multiple close-range image matching based on a self-adaptive triangle constraint

Qing Zhu, Yunsheng Zhang, Bo Wu, Yeting Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

28 Citations (Scopus)


Reliable image matching is an essential and difficult task in digital photogrammetry and computer vision. Possible problems from geometric distortions, illumination changes, scale changes and difficult texture conditions will result in matching ambiguity, especially for close-range image matching. This paper presents a multiple close-range image matching method for surface reconstruction based on a self-adaptive triangle constraint. This method features two aspects. First, the triangles constructed from the previously matched interest points provide strong geometric constraints for the subsequent point matching combined with gradient orientation and disparity constraints. The dynamic update of the triangulation adapts automatically to the changes of image textures. Secondly, a consistency check in object space is performed to remove possible mismatches. Using three sets of actual triple overlapped close-range images for the experiment, the results revealed that the proposed method provides improved matching reliability. The Photogrammetric Record
Original languageEnglish
Pages (from-to)437-453
Number of pages17
JournalPhotogrammetric Record
Issue number132
Publication statusPublished - 1 Dec 2010


  • Close-range images
  • Consistency check
  • Multiple image matching
  • Self-adaptive triangle constraint

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)


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