Preliminary Study on Analyzing as well as Tuning Penalty Parameters of Mutual Information Based Semi-Global Matching
Date Issued
2014
Date
2014
Author(s)
Chen, Yu-Lin
Abstract
Over the last few years, dense image matching for point cloud generation has attracted research attention in both the photogrammetry and computer vision communities. The semi-global matching (SGM) algorithm based on mutual information is one of well-known methods which applies multi-directional smoothing constraint in cost aggregation to efficiently enhance the rate of stereo matching. On the other hand, the smoothing constraint, among others, is the core issue to equip the penalty function with sufficient power for reducing erroneous matches if appropriately chosen. For that, the purpose of this study is to characterize the smoothing constraint by setting mode of minimum of the penalty function. And offer reference of tuning parameters of penalty function by trend of consistency pixel numbers. Tests on Middlebury Stereo Datasets and real image have been carried out and evaluated.
Subjects
半全域匹配法
互資訊
補償函數
匹配值加總
補償值函數最小值設定模式
Type
thesis
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