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High Order Volumetric Directional Pattern for Video-Based Face Recognition

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  • Almabrok Essa
  • Vijayan Asari

Abstract

Describing the dynamic textures has attracted growing attention in the field of computer vision and pattern recognition. In this paper, a novel approach for recognizing dynamic textures, namely, high order volumetric directional pattern (HOVDP), is proposed. It is an extension of the volumetric directional pattern (VDP) which extracts and fuses the temporal information (dynamic features) from three consecutive frames. HOVDP combines the movement and appearance features together considering the order volumetric directional variation patterns of all neighboring pixels from three consecutive frames. In experiments with two challenging video face databases, YouTube Celebrities and Honda/UCSD, HOVDP clearly outperformed a set of state-of-the-art approaches.

Suggested Citation

  • Almabrok Essa & Vijayan Asari, 2019. "High Order Volumetric Directional Pattern for Video-Based Face Recognition," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, June.
    • Handle: RePEc:hin:jnlmpe:6798750
    DOI: 10.1155/2019/6798750
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