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Volumn 5108, Issue , 2003, Pages 189-197

Computer vision techniques for semi-automatic reconstruction of ripped-up documents

Author keywords

Computer vision; Document reconstruction

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; SCANNING; VECTORS;

EID: 0344513936     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.501078     Document Type: Conference Paper
Times cited : (6)

References (5)
  • 2
    • 0038668804 scopus 로고    scopus 로고
    • A shape and image merging technique to solve jigsam puzzles
    • to be published
    • F. H. Yao, G. F. Shao, "A shape and image merging technique to solve jigsam puzzles", Pattern Recognition Letters, to be published, 2003.
    • (2003) Pattern Recognition Letters
    • Yao, F.H.1    Shao, G.F.2
  • 3
    • 0345509029 scopus 로고    scopus 로고
    • Jigsaw puzzle solving using approximate string matching and best-first search
    • D. Chetverikov, W. G. Kropatsch (Eds.), Springer-Verlag
    • H. Bunke, G. Kaufmann, "Jigsaw puzzle solving using approximate string matching and best-first search", Lecture Notes in Computer Science, Computer Analysis of Images and Patterns, D. Chetverikov, W. G. Kropatsch (Eds.), pp. 299-308, Springer-Verlag.
    • Lecture Notes in Computer Science, Computer Analysis of Images and Patterns , pp. 299-308
    • Bunke, H.1    Kaufmann, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.