Browsing Researchers by Subject "Object recognition"

Now showing items 1-5 of 5

    • 3D object recognition system using multiple views and cascaded multilayered perceptron network 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-12)
      This paper proposes an effective method for recognition and classification of 3D objects using multiple views technique and neural networks system. In the processing stage, we propose to use 2D moment invariants as the ...

    • 3D object recognition using 2D moments and HMLP network 

      Mohd Yusoff, Mashor, Prof. Dr.; Muhammad Khusairi, Osman; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-07)
      This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged ...

    • 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments 

      M. Khusairi, Osman; Mohd Yusoff, Mashor; M. Rizal, Arshad; Zuraidi, Saad (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      This paper addresses a performance analysis of two well known moments, namely Hu's moments and Zernike's moments for 3D object recognition. Hu's moments and Zernike's moments are the non-orthogonal and orthogonal moments ...

    • Physically realistic simulation of large deformations using LEM for interactive applications 

      Sundaraj, Kenneth, Prof. Dr.; Laugier, Christian (IEEE Conference Publications, 2002)
      This paper presents the modification to LEM - Long Element Method to simulate large deformations. We are interested us deformable objects filled with some incompressible fluid By large deformations, we mean deformations ...

    • Wireless cameras network for Intelligent Traffic Surveillance system 

      Zainab Nazar, Khalil Wafi; R. Badlishah, Ahmad; Paulraj, M.P. (Universiti Malaysia Perlis, 2009-10-11)
      Wireless Networks (WNs) have attracted wide interests in both academic and industrial communities due to their diversity of applications. In this paper a Wireless Camera Network (WCN) which utilizes advanced embedded ...