Pasindu Abeysundera

Pasindu Abeysundera

Sri Lanka
3K followers 500+ connections

About

15 Years of experience in IT Management including 10+ years of meticulous project /…

Activity

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Experience

  • Michelin Graphic

    Michelin

    Colombo, Western Province, Sri Lanka

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    Colombo

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    Colombo

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    Colombo

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    Istanbul, Turkey

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    Kyrenia, Cyprus

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    Kyrenia

Education

  • The George Washington University School of Business Graphic
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    Activities and Societies: Areas of Research : Pattern Recognition, Machine Learning, Artificial Neural Networks, AI

    CGPA 3.83
    First student in the university history to complete the masters in 1.5 years. (Avg is 2.8 yrs)
    Multiple Publications
    Best Masters thesis

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    Activities and Societies: Computer Society Chess Club Aikido Horse Riding

    CGPA 3.76
    Was in Chancellors list for all the four years.
    Best student award 2005 to 2009 consecutively.
    President - Computer Society 2006- 2008

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    Activities and Societies: President - English literary Union Secretary - Leo Club Secretary - Debating Society Vice President - Ananda College Quality Circle English News Broadcaster

Licenses & Certifications

Volunteer Experience

  • Volunteer - Event Organizer

    Girne Rehabilitation Center for Ophens

    - 4 years

    Children

Publications

  • Nearest neighbor weighted average customization for modeling faces

    Springer Berlin Heidelberg

    In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ perspective projection to estimate 3D coordinates of the 2D facial landmarks in the image. The non-landmark vertices of the 3D model are shifted using the translations of k nearest landmark vertices, inversely weighted by the square of their distances. We demonstrate on Photoface…

    In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ perspective projection to estimate 3D coordinates of the 2D facial landmarks in the image. The non-landmark vertices of the 3D model are shifted using the translations of k nearest landmark vertices, inversely weighted by the square of their distances. We demonstrate on Photoface and Bosphorus 3D face data sets that the proposed method achieves substantially low relative error values with modest time complexity.

    Other authors
    • Kristin Surpuhi
    • Mustafa Taner Eskil
    See publication
  • SEMI-AUTOMATIC CUSTOMIZATION FOR MODELING HUMAN FACE

    Isik University

    Model-based vision has firmly established its roots as a robust approach in recognizing and locating known traits in rigid objects even under the presence of noise, clutter and occlusion. However the application of such systems has not displayed the same efficiency in modeling non-rigid objects. The dilemma with the prevailing modeling techniques is that that they compensate model specificity to accommodate variability, or the vice versa compromising the robustness of…

    Model-based vision has firmly established its roots as a robust approach in recognizing and locating known traits in rigid objects even under the presence of noise, clutter and occlusion. However the application of such systems has not displayed the same efficiency in modeling non-rigid objects. The dilemma with the prevailing modeling techniques is that that they compensate model specificity to accommodate variability, or the vice versa compromising the robustness of the 3 dimensional model during the image interpretation progression. Face, being a non rigid and a sophisticated structure makes it more arduous to model, using such approaches.

    In this study we have presented a novel method in modeling 3 dimensional images employing a generic wireframe and a single 2 dimensional image. Known traits are located in the 3 dimensional space using a variant of ray tracing method. Non-landmark traits are positioned employing a nearest neighbor weighted average customization. Proposed technique has proven its robustness in the experiments conducted employing the Bosphorous database. Furthermore the relative error values attained employing NNWA customization illustrated significantly low values. We compared the obtained results with the ASM and Procrustes Analysis.

    See publication

Projects

  • Supply Chain Portal

    "Supply Chain Portal" is a product that enables fashion sourcing organizations to plan their production by collaborating with external vendors, suppliers and other third parties. The product enables the sourcing organization to;

    1. Smooth collaboration with suppliers/vendors for supply planning processes
    2. Directly Issue agreements and Purchase orders to vendors/suppliers.
    3. Track production tasks and their progress
    4. Integration with SAP and other external data sources to…

    "Supply Chain Portal" is a product that enables fashion sourcing organizations to plan their production by collaborating with external vendors, suppliers and other third parties. The product enables the sourcing organization to;

    1. Smooth collaboration with suppliers/vendors for supply planning processes
    2. Directly Issue agreements and Purchase orders to vendors/suppliers.
    3. Track production tasks and their progress
    4. Integration with SAP and other external data sources to provide the total flexibility for the business.

    attune’s Supply Chain portal facilitate integration of information and parties across all supply chain operations into a single environment. Linking process oriented operations across multiple departments and systems into a configurable rules based framework, fashion companies are in better position to fulfill demand while maintaining strategic goals and leveraging the supply chain to drive value for the organization.

    Other creators

Honors & Awards

  • Badge Top

    Girne American University

    Badge Top ( CGPA 3.76 )
    Was in Chancellors list for all the four years.
    President - Computer Society 2006- 2008

Languages

  • English

    Full professional proficiency

  • Sinhalese

    Native or bilingual proficiency

  • Turkish

    Full professional proficiency

  • Russian

    Limited working proficiency

Organizations

  • PMI

    Member

    - Present

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