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    Tracking the 3D configuration of human joint using an MR image registration technique

    , Article ASME 2010 5th Frontiers in Biomedical Devices Conference and Exhibition, BIOMED 2010, 20 September 2010 through 21 September 2010 ; 2010 , Pages 93-94 ; 9780791849453 (ISBN) Mostafavi Yazdi, S. K ; Farahmand, F ; Jafari, A ; Sharif University of Technology
    Abstract
    Surface registration is a necessary step and widely used in medical image-aided surgery. It's relevance to medical imaging is that there is much useful anatomical information in the form of collected surface points which originate from complimentary modalities. In this study, the kinematic relations between two point clouds with different coordinate definitions have been generated. Using Influence Method of surface modeling for extracting point clouds functions, the transformation matrix would be resulted. The proposed method was applied for an experimental femur data points(651 points) using the MRI images. These data points were transformed in a 30 degrees flexion of knee. This... 

    Towards MPEG4 compatible face representation via hierarchical clustering-based facial feature extraction

    , Article ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics ; 2011 , Pages 436-441 ; 9781612846903 (ISBN) Ghahari, A ; Mosleh, M ; Sharif University of Technology
    Abstract
    Multi-view imaging and display systems has taken a divide and conquer approach to 3D sensing and visualization. We aim to make more reliable and robust automatic feature extraction and natural 3D feature construction from 2D features detected on a pair of frontal and profile view face images. We propose several heuristic algorithms to minimize possible errors introduced by prevalent imperfect orthogonal condition and non-coherent luminance trying to address the problems incurred with illumination discrepancies on common surface points in accommodation of multi-views. In our approach, we first extract the 2D features that are visible to both cameras in both views. Then, we estimate the...