FEATURE ANALYSIS FOR MULTI-WINDOW MATCHING
Other literature type
Chang, W. C.
Chen, L. C.
Image matching is a practical way to build up the relationship between point pairs. In remote sensing and photogrammetry
applications, area-based matching algorithms are usually used under control environment, such as fixing exterior orientation
parameters, to reach high matching precision. In order to improve the reliability of image matching, area-based matching algorithms
are frequently performed with image pyramid and epipolar constraints. Thus, Central-Left-Right matching (CLR matching) is
proposed to enhance the reliability. The method is designed to cope with unreliable matching when the objects are with surface
discontinuity. The CLR matching puts a candidate point in the center, left and right windows. Thus, the elements of target window
and search window may be corresponded to the same objects if the candidate point is located in a vertical edge. In addition, the
directions of features in the image may be varied because of the object diversity. Thus, the CLR matching would be better to
combine with multi-window operation in accordance with the feature direction. This paper analyzed the feature direction first
followed by the multi-window matching. The major works in this investigation contain feature extraction, feature analysis, and
image matching. The experiments compared the results of traditional image matching, CLR matching, and multi-window matching.
The experimental results indicate that the proposed method improves the accuracy of image matching.