SIFT-based Stereo Matching to Compensate Occluded Regions and Remove False Matching for 3D Reconstruction
- Authors
- Shin, Do Kyung; Lee, Jeong ho; Moon, Young Shik
- Issue Date
- Jan-2009
- Publisher
- 한국방송공학회
- Citation
- International Workshop on Advanced Image Technology (IWAIT, 2009), pp.418 - 422
- Indexed
- OTHER
- Journal Title
- International Workshop on Advanced Image Technology (IWAIT, 2009)
- Start Page
- 418
- End Page
- 422
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/41433
- Abstract
- Generally, algorithms for generating disparity maps can be
clssified into two categories: region-based method and
feature-based method. The main focus of this research is to
generate a disparity map with an accuracy depth
information for 3-dimensional reconstructing . Basically,
the region-based method and the feature-based method are
simultaneously included in the proposed algorithm, so that
the existing problems including false matching and
occlusion can be effectively solved. As a region-based
method, regions of false matching are extracted by the
proposed MMAD(Modified Mean of Absolute Differences)
algorithm which is a modification of the existing
MAD(Mean of Absolute Differences) algorithm. As a
feature-based method, the proposed method eliminates
false matching errors by calculating the vector with SIFT
and compensates the occluded regions by using a pair of
adjacent SIFT matching points, so that the errors are
reduced and the disparity map becomes more accurate.
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