6533b826fe1ef96bd1283b1e
RESEARCH PRODUCT
<title>Multiresolution description of range images through 2D quincunx wavelet analysis</title>
Marc F. ToubinEric P. VerrecchiaMongi A. AbidiChristophe DumontFrederic Truchetetsubject
business.industryStationary wavelet transformMultiresolution analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformCascade algorithmIterative reconstructionWaveletQuincunxPolygon meshComputer visionArtificial intelligencebusinessMathematicsdescription
In this paper, we present a method for performing a multi- scale analysis on range images by using the wavelet transform, that is capable of revealing multi-resolution information. An accurate non-contact optical system based upon laser triangulation is used to determine the depth information of the object being scanned. The resulting range image is treated as a gray-level image by using a multi- resolution approach based on the generalization of the cascade algorithm using the quincunx wavelet transform. The quincunx wavelet assures very fine analysis. This method allows reconstruction of non-subsampled images that correspond to decompositions previously done at chosen scales. Multi-resolution details and approximation image are computed and the emphasis is on their 3D representation. A 3D mesh is created from the object envelope. Vertices relatives to details information at specific scales are color-coded so that a mesh reduction algorithm only reduces the amount of data corresponding to the object envelope. Thus, this paper proposes a method for extracting multi- resolution information contained in range images by using the quincunx wavelet analysis for the purpose of data reduction.
year | journal | country | edition | language |
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1999-03-22 | Wavelet Applications VI |