Browsing by Author "Rakshith"

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    3D face reconstruction using frontal and profile views
    (2013) Narayana, S.; Rohit; Rajagopal; Rakshith; Antony, J.
    We present a methodical approach for 3-D face reconstruction. Two orthogonal images, the frontal and profile views of the face, are used with a constructed generic model to obtain the 3-D face model. The need for 3-D face modelling has been growing due to its application in biometrics, forensic, animation, gaming etc. Face localization in the image is performed using fast skin colour detection technique. Feature points from the face images are identified and extracted. Global deformation and local deformation techniques are applied to deform the 3-D generic face model constructed using the feature points extracted, to obtain the 3-D face model. The 3D model of the face reconstructed will be of high accuracy and high clarity. � 2013 IEEE.
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    3D face reconstruction using frontal and profile views
    (IEEE Computer Society help@computer.org, 2013) Narayana, S.; Rohit; Rajagopal; Rakshith; Antony, J.
    We present a methodical approach for 3-D face reconstruction. Two orthogonal images, the frontal and profile views of the face, are used with a constructed generic model to obtain the 3-D face model. The need for 3-D face modelling has been growing due to its application in biometrics, forensic, animation, gaming etc. Face localization in the image is performed using fast skin colour detection technique. Feature points from the face images are identified and extracted. Global deformation and local deformation techniques are applied to deform the 3-D generic face model constructed using the feature points extracted, to obtain the 3-D face model. The 3D model of the face reconstructed will be of high accuracy and high clarity. © 2013 IEEE.
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    Development of Portable Tethered Vertical Profiler for Underwater Monitoring
    (Institute of Electrical and Electronics Engineers Inc., 2023) Sequeira, S.L.; Manish, E.S.; Rakshith; Umesh, P.; Gangadharan, K.V.
    Human activities and industrial waste flow to water bodies will contaminate the coastal areas, leading to changes in the underwater ecosystem and affecting aquatic habitats. Understanding these ecosystems requires quick data collection, systematic process monitoring, and coastal resource preservation through proper decision-making. We can understand the variation of water properties with depth by deploying sensors from the surface, one of the most popular methods of gathering ocean data. However, high-resolution oceanographic data collection and long-term human observations are risky and expensive. Although some autonomous profiling systems address these issues, there is still scope for developing practical, affordable, and accurate data-providing systems. This paper discusses an open-source, economical, easily portable, propeller-driven underwater Vertical Profiler controlled by a joystick located in Ground Control System (GCS) using a Neutrally buoyant tether cable. Data from sensors, like temperature, pressure, and depth, are collected. The paper also discusses functionality and sensor tests conducted on the developed vehicle at a controlled environment/test site. The developed Profiler can perform basic manoeuvres and collect water quality data upstream of vented dams and rivers in and around the Dakshina Kannada district of Karnataka, India. © 2023 IEEE.