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Volumn , Issue , 2007, Pages

A fast method to minimize L∞ error norm for geometric vision problems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER VISION;

EID: 50649097168     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408913     Document Type: Conference Paper
Times cited : (36)

References (16)
  • 8
    • 33745911320 scopus 로고    scopus 로고
    • Quasiconvex optimization for robust geometric reconstruction
    • Beijing, China
    • Q. Ke and T. Kanade. Quasiconvex optimization for robust geometric reconstruction. In Proc. Int. Conf. on Computer Vision, Beijing, China, 2005.
    • (2005) Proc. Int. Conf. on Computer Vision
    • Ke, Q.1    Kanade, T.2
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision, 60(2):91-110, 2004.
    • (2004) Int. Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 16
    • 0033296299 scopus 로고    scopus 로고
    • Using SeDuMi 1.02, a Matlab toolbox for optimization over symmetric cones
    • J. Sturm. Using SeDuMi 1.02, a Matlab toolbox for optimization over symmetric cones. Optimization Methods and Software, 11-12:625-653, 1999.
    • (1999) Optimization Methods and Software , vol.11-12 , pp. 625-653
    • Sturm, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.