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Volumn , Issue , 2009, Pages 7-12

Feature-assisted sparse to dense motion estimation using geodesic distances

Author keywords

Geodesic distance candidate selection; Large displacement; Local features; Motion vector estimation

Indexed keywords

CANDIDATE SELECTION; GEODESIC DISTANCES; LARGE DISPLACEMENTS; LOCAL FEATURE; MOTION VECTOR ESTIMATION;

EID: 72849127142     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMVIP.2009.9     Document Type: Conference Paper
Times cited : (4)

References (21)
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    • J. Wills, S. Agarwal, and S. Belongie, "A feature-based approach for dense segmentation and estimation of large disparity motion," International Journal of Computer Vision, vol. 68, no. 2, pp. 125-143, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.