Stereo Matching Algorithm based on Aligning Genomic Sequence
نویسندگان
چکیده
منابع مشابه
hSGM: Hierarchical Pyramid Based Stereo Matching Algorithm
In this paper, we propose a variant of Semi-Global Matching, hSGM which is a hierarchical pyramid based dense stereo matching algorithm. Our method aggregates the matching costs from the coarse to fine scale in multiple directions to determine the optimal disparity for each pixel. It has several advantages over the original SGM: a low space complexity and efficient implementation on GPU. We sho...
متن کاملA fast area-based stereo matching algorithm
This paper presents an area-based stereo algorithm suitable to real time applications. The core of the algorithm relies on the uniqueness constraint and on a matching process that allows for rejecting previous matches as soon as more reliable ones are found. The proposed approach is compared with the left-right consistency constraint, being the latter the basic method for detecting unreliable m...
متن کاملStereo Matching Algorithm Based on a Generalized Bilateral Filter Model
Stereo matching is a kernel problem in stereo vision systems. Stereo algorithms can be roughly classified into local and global approaches. Local algorithms use Winner-Take-All strategy, simply taking disparity level that minimizes the aggregation costs. In this paper we present a local stereo matching algorithm with an adaptive cost aggregation strategy based on a generalized bilateral filter ...
متن کاملStereo matching based on the self-organizing feature-mapping algorithm
This paper presents an approach to the local stereo matching problem using edge segments as features with several attributes. We have verified that the differences in attributes for the true matches cluster in a cloud around a center. The correspondence is established on the basis of the minimum squared Mahalanobis distance between the difference of the Ž . attributes for a current pair of feat...
متن کاملWide Baseline Stereo Matching Algorithm Based on Advanced Extremal Regions
Stereo matching with regions is a master method for binocular image matching of wide baseline. It is most difficult that extracting invariant region. Stable extremal region(SER) is proposed in this paper, and its extracting algorithm. To magnify the intensity change and identify its edge easily, the exponent transform has been used. Then, the affine invariant moments of SER and the Euclid-dista...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2011
ISSN: 1812-5638
DOI: 10.3923/itj.2011.675.680