Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29265
Title: Multiple close-range image matching based on a self-adaptive triangle constraint
Authors: Zhu, Q
Zhang, Y
Wu, B 
Zhang, Y
Keywords: Close-range images
Consistency check
Multiple image matching
Self-adaptive triangle constraint
Issue Date: 2010
Publisher: Wiley-Blackwell
Source: Photogrammetric record, 2010, v. 25, no. 132, p. 437-453 How to cite?
Journal: Photogrammetric record 
Abstract: 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.
URI: http://hdl.handle.net/10397/29265
ISSN: 0031-868X
EISSN: 1477-9730
DOI: 10.1111/j.1477-9730.2010.00603.x
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