SIFT-based Stereo Matching to Compensate Occluded Regions and Remove False Matching for 3D Reconstruction
- Title
- SIFT-based Stereo Matching to Compensate Occluded Regions and Remove False Matching for 3D Reconstruction
- Author
- 문영식
- Issue Date
- 2009-01
- Publisher
- 한국방송공학회
- Citation
- International Workshop on Advanced Image Technology (IWAIT, 2009), Page. 418-422
- 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.
- URI
- https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NPAP08305108https://repository.hanyang.ac.kr/handle/20.500.11754/185620
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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