A systemic point-cloud de-noising and smoothing method for 3D shape reuse
Yang Z.X.; Xiao D.
Conference Name2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)
Source Publication2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Conference Date5-7 Dec. 2012
Conference PlaceGuangzhou, China

3D shape reuse, as an effective way to carry out innovative design, requires a digital model database where the entities are accurate and sufficient representations of objects in the real world. 3D scanning is a prevailing tool to quickly convert physical models into virtual ones. However, the scanned models without post-processing could not be used directly due to environment noise and accuracy limitation in terms of discrete sampling property in scanning. This paper introduces a systemic point-cloud de-noising and mesh smoothing method to handle this issue. The model de-noising and regularity is based on k-means clustering, and mesh smoothing module is an improved mean approach which processes the discrete data in the regular order. Case study will be given to verify the smoothing effectiveness. The proposed method could facilitate the construction of model database for design reuse, and could be output to downstream applications such as shape adaptive deformation, and shape searching. © 2012 IEEE.

Keyword3d Model De-noising Design Reuse Meshes Smoothing
URLView the original
Indexed BySCI
WOS Research AreaAutomation & Control Systems ; Engineering ; Robotics
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Robotics
WOS IDWOS:000317972500300
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Yang Z.X.,Xiao D.. A systemic point-cloud de-noising and smoothing method for 3D shape reuse[C],2012:1722-1727.
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