tmage motion is estimated by matching feature "interest" points in different frames of video image sequences. The matching is based on local similarity of the displacement vectors. Clustering in the displacement vector space is used to determine the set of plausible match vectors. Subsequently, a si
β¦ LIBER β¦
Estimation of Motion in Angiographic Images
β Scribed by A. S. Afanasenko
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 381 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0006-3398
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