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Showing 1 to 4 of 4 for “"Face segmentation"”.

  1. True Real Time Pose Independent Face Detection Using Color Information and Skin Region Segmentation

    The process of detecting a face from a video in real time is essential in applications such as human surveillance, human computer-interaction, and for further face recognition research purposes. In this paper, the face detection algorithm is divided into four stages namely, Video Database …

    wku-diss Repository record for True Real Time Pose Independent Face Detection Using Color Information and Skin Region Segmentation (opens in a new tab)

  2. Automatic human face detection in color images

    Automatic human face detection in digital image has been an active area of research over the past decade. Among its numerous applications, face detection plays a key role in face recognition system for biometric personal identification, face tracking for intelligent human computer interface (HCI), …

    edithcowan Repository record for Automatic human face detection in color images (opens in a new tab)

  3. Face recognition using Hidden Markov Models

    This dissertation introduces work on face recognition using a novel technique based on Hidden Markov Models (HMMs). Through the integration of a priori structural knowledge with statistical information, HMMs can be used successfully to encode face features. The results reported are obtained using a …

    cambridge Repository record for Face recognition using Hidden Markov Models (opens in a new tab)

  4. Two- and Three-dimensional Face Recognition under Expression Variation

    … two-dimensional (2D) and three-dimensional (3D) face recognition is tackled. While discriminant analysis (DA) methods are effective solutions for recognizing expression-variant 2D face images, they are not directly applicable when only a single sample image per subject is available. This problem …

    toronto-retro Repository record for Two- and Three-dimensional Face Recognition under Expression Variation (opens in a new tab)