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Volumn , Issue , 2012, Pages 524-530

Modeling kinect sensor noise for improved 3D reconstruction and tracking

Author keywords

[No Author keywords available]

Indexed keywords

3D RECONSTRUCTION; DEPTH MAP; NOISE DISTRIBUTION; NOISE MODELS; POSE ESTIMATION; QUANTITATIVE RESULT; SENSOR NOISE;

EID: 84872010081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DIMPVT.2012.84     Document Type: Conference Paper
Times cited : (322)

References (10)
  • 1
    • 78049509125 scopus 로고    scopus 로고
    • A note on approximating the normal distribution function
    • K. Aludaat and M. Alodat. A note on approximating the normal distribution function. Applied Mathematical Sciences, 2(9):425-429, 2008.
    • (2008) Applied Mathematical Sciences , vol.2 , Issue.9 , pp. 425-429
    • Aludaat, K.1    Alodat, M.2
  • 2
    • 44049122968 scopus 로고
    • Object modelling by registration of multiple range images
    • Y. Chen and G. Medioni. Object modelling by registration of multiple range images. Image and vision computing, 10(3):145-155, 1992.
    • (1992) Image and Vision Computing , vol.10 , Issue.3 , pp. 145-155
    • Chen, Y.1    Medioni, G.2
  • 5
    • 84857612141 scopus 로고    scopus 로고
    • Accuracy and resolution of kinect depth data for indoor mapping applications
    • K. Khoshelham and S. Elberink. Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors, 12(2):1437-1454, 2012.
    • (2012) Sensors , vol.12 , Issue.2 , pp. 1437-1454
    • Khoshelham, K.1    Elberink, S.2
  • 6
    • 80052139931 scopus 로고    scopus 로고
    • Technical report, Technical Report TR04-004, Department of Computer Science, University of North Carolina at Chapel Hill
    • K. Low. Linear least-squares optimization for point-to-plane icp surface registration. Technical report, Technical Report TR04-004, Department of Computer Science, University of North Carolina at Chapel Hill, 2004.
    • (2004) Linear Least-squares Optimization for Point-to-plane Icp Surface Registration
    • Low, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.