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Volumn 38, Issue , 2010, Pages 109-114

Point cloud non local denoising using local surface descriptor similarity

Author keywords

Denoising; Descriptor; LIDAR; Mesh; Point Cloud

Indexed keywords

COMPUTER VISION; IMAGE ANALYSIS; IMAGE PROCESSING; OPTICAL RADAR; PHOTOGRAMMETRY;

EID: 84855648541     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (16)
  • 5
    • 28844431539 scopus 로고    scopus 로고
    • Robust moving least-squares fitting with sharp features
    • Fleishman, S., Cohen-Or, D. and Silva, C. T., 2005. Robust moving least-squares fitting with sharp features. SIGGRAPH.
    • (2005) SIGGRAPH
    • Fleishman, S.1    Cohen-Or, D.2    Silva, C.T.3
  • 9
    • 0032381035 scopus 로고    scopus 로고
    • The approximation power of moving leastsquares
    • Levin, D., 1998. The approximation power of moving leastsquares. Mathematics of Computation 67, pp. 807-815.
    • (1998) Mathematics of Computation , vol.67 , pp. 807-815
    • Levin, D.1
  • 11
    • 63049135448 scopus 로고    scopus 로고
    • Feature preserving point set surfaces based on non-linear kernel regression
    • Oztireli, A. C., Guennebaud, G. and Gross, M., 2009. Feature preserving point set surfaces based on non-linear kernel regression. Computer Graphics Forum.
    • (2009) Computer Graphics Forum
    • Oztireli, A.C.1    Guennebaud, G.2    Gross, M.3
  • 13
    • 48949117372 scopus 로고    scopus 로고
    • Adaptive featurepreserving non-local denoising of static and time-varying range data
    • Schall, O., Belyaev, A. and H.-P.Seidel, 2008. Adaptive featurepreserving non-local denoising of static and time-varying range data. Computer-Aided Design 40 (6), pp. 701-707.
    • (2008) Computer-Aided Design , vol.40 , Issue.6 , pp. 701-707
    • Schall, O.1    Belyaev, A.2    Seidel, H.-P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.