Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 4 of 4 for “"real-time face recognition"”.

  1. Acceleration of real-time face recognition pipeline on heterogeneous hardware platforms

    … in previously unsolvable computer vision tasks. Face recognition, one of the critical computer vision tasks, also sees breakthrough in terms of accuracy. This thesis presents an accelerated and optimized end-to-end face recognition pipeline. Such a pipeline consists of three stages: face

    uiuc Repository record for Acceleration of real-time face recognition pipeline on heterogeneous hardware platforms (opens in a new tab)

  2. Computational Algorithms for Face Alignment and Recognition

    Real-time face recognition has recently become available for the government and industry due to developments in face recognition algorithms, human head detection algorithms, and faster/low cost computers. Despite these advances, however, there are still some critical issues that affect the …

    vt Repository record for Computational Algorithms for Face Alignment and Recognition (opens in a new tab)

  3. Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms

    Nowadays, face recognition plays a vital role in various security, access control, and surveillance systems. In computer vision, automatic face recognition is a challenging job in the last couple of decades. Changes in illumination, image resolutions, the variation of light and posture of the face

    texas-state Repository record for Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms (opens in a new tab)

  4. Fast and robust face recognition via parallelized L1 minimization

    Many classic and contemporary face recognition algorithms work well on public data sets, but degrade sharply when they are used in a real recognition system. A major cause of this is the difficulty of simultaneously handling variations in illumination, image misalignment, and occlusion in the test …

    uiuc Repository record for Fast and robust face recognition via parallelized L1 minimization (opens in a new tab)