Sciweavers

    97
    Voted
    CVPR
    2008
    IEEE
    318views Computer Vision» more  CVPR 2008»
    Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
    16 years 27 days ago
    Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
    Download  www.ri.cmu.edu
    Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
    Fernando De la Torre, Minh Hoai Nguyen
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2025, USA.