Parabola

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Wilfried Philips - One of the best experts on this subject based on the ideXlab platform.

  • face recognition using Parabola edge map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

  • ACIVS - Face Recognition Using Parabola Edge Map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

Francis Deboeverie - One of the best experts on this subject based on the ideXlab platform.

  • face recognition using Parabola edge map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

  • ACIVS - Face Recognition Using Parabola Edge Map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

Jae Su Yu - One of the best experts on this subject based on the ideXlab platform.

  • biomimetic Parabola shaped azo subwavelength grating structures for efficient antireflection of si based solar cells
    Solar Energy Materials and Solar Cells, 2011
    Co-Authors: Jung Woo Leem, Jae Su Yu
    Abstract:

    Abstract We report the fabrication and investigation of the Parabola-shaped periodic subwavelength grating (SWG) structures on aluminum-doped zinc oxide (AZO) film/Si substrate, which are formed by a novel re-deposition method using the AZO dot arrays as a seed layer, for broadband and omnidirectional antireflection. For fabricated Parabola-shaped AZO SWG structures, the antireflection characteristics are investigated, together with theoretical analysis based on a rigorous coupled-wave analysis method. The Parabola-shaped AZO SWG structure suppresses significantly Fresnel reflections compared to the AZO film and the AZO dot arrays (or cylindrical AZO SWGs with a hemispherical top) because of its linear gradient-refractive-index change between the AZO and air. For the Parabola-shaped AZO SWG/initial AZO film of 600 nm after 45 min re-deposition, it exhibits a low average reflectance of∼5% with a solar weighted reflectance of 5.3% while maintaining a reflectance less than 25.6% over a wide wavelength region of 300–1100 nm up to the incident angle of θ i =70°. The electrical properties of the fabricated AZO SWG structures are also discussed.

Kristof Teelen - One of the best experts on this subject based on the ideXlab platform.

  • face recognition using Parabola edge map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

  • ACIVS - Face Recognition Using Parabola Edge Map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

Peter Veelaert - One of the best experts on this subject based on the ideXlab platform.

  • face recognition using Parabola edge map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.

  • ACIVS - Face Recognition Using Parabola Edge Map
    Advanced Concepts for Intelligent Vision Systems, 2008
    Co-Authors: Francis Deboeverie, Peter Veelaert, Kristof Teelen, Wilfried Philips
    Abstract:

    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with Parabola segments with an algorithm that allows us to fit Parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in a face, which is advantageous for several applications such as recognition of the facial expression and facial orientation. We use Parabola segments for face recognition, which is done by a technique that matches Parabola segments from different faces, based on distance and intensity.