Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Expression-Invariant Face Recognition with Accurate Optical Flow

    Face recognition is one of the most intensively studied topics in computer vision and pattern recognition, but few are focused on how to robustly recognize expressional faces with one single training sample pe...

    Chao-Kuei Hsieh, Shang-Hong Lai in Advances in Multimedia Information Process… (2007)

  2. Chapter and Conference Paper

    Improved Two-Level Model Averaging Techniques in Drosophila Brain Modeling

    Two-level model averaging techniques have been proposed to construct the 3D reference template for the Drosophila brain. The surface-based reference template is suitable for integration of experimental data fr...

    Cheng-Chi Wu, Chao-Yu Chen, Hsiu-Ming Chang in Advances in Image and Video Technology (2009)

  3. Chapter and Conference Paper

    Integrated Expression-Invariant Face Recognition with Constrained Optical Flow

    Face recognition is one of the most intensively studied topics in computer vision and pattern recognition. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence ...

    Chao-Kuei Hsieh, Shang-Hong Lai, Yung-Chang Chen in Advances in Image and Video Technology (2009)

  4. Chapter and Conference Paper

    SLAM and Navigation in Indoor Environments

    In this paper, we propose a system for wheeled robot SLAM and navigation in indoor environments. An omni-directional camera and a laser range finder are the sensors to extract the point features and the line f...

    Shang-Yen Lin, Yung-Chang Chen in Advances in Image and Video Technology (2012)