Institute of IR4.0 (IIR4.0)

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Institute of Visual Informatics (IVI), UKM

Leading Digital Technology Across Industrial Revolution

System Intergration & Iot Lab

The Computer Vision and Image Processing Laboratory conducts fundamental and advanced research to develop novel techniques or algorithms to extract information from 2D and 3D image data and to translate those techniques into effective software tools that can automate human vision tasks. These tools can be used to resolve many real world issues in biometrics, face recognition, facial expression understanding, medical image analysis, visual surveillance, landscape tracking, vehicle navigation, scene reconstruction, quality control, and manufacturing inspection system. Numerous computer vision techniques have been investigated including edge detection, image segmentation, image reconstruction, image manipulation, visual tracking, motion estimation, remote collaboration and image restoration.

Past/Current Projects: 

  1. Visualisation tool on multi-touch tabletops/ horizontal surfaces for Computer Aided Collaborative Leraning – headed by Prof. Dr. Halimah Badioze Zaman dan Assoc. Prof. Dr. Azlina Ahmad
  2. Spatial Cognition Framework For Multi-Touch Horizontal Surface – Prof. Dr. Halimah Badioze Zaman dan Assoc. Prof. Dr. Azlina Ahmad
  3. Fuzzy Edge Detection Method of Medical Image Processing Based on Best Fit Polynomial Interpolation – headed by Prof. Dr. Riza Sulaiman
  4. Video-Based Iris Recognition System through Visible Wavelength – headed by Prof. Dr. Azizah Jaafar
  5. Development of Total Knee Replacement Digital Templating Software – headed by Prof. Dr. Riza Sulaiman
  6. Collaboration on Heterogeneous Unmanned Vehicle Systems Using Visual Tracking – headed by Dr Ang Mei Choo
  7. Content-based patent image retrieval – headed by Dr Ang Mei Choo
  8. Video Inpainting and Motion Falsifying Forgeries Detection Based on Fingerprinting – headed by Dr Ang Mei Choo

Past/Current Students:

  1. Visualisation tool on multi-touch tabletops/ horizontal surfaces for Computer Aided Collaborative Leraning – Ammar Qaraghuli
  2. Video-Based Iris Recognition System through Visible Wavelength – Asama Kuder
  3. Collaboration on Heterogeneous Unmanned Vehicle Systems Using Visual Tracking – Amir Hossein Aghamohammadi
  4. Content-based patent image retrieval – Marzieh Mogharrebi
  5. Video Inpainting and Motion Falsifying Forgeries Detection Based on Fingerprinting – Manar Abduljabbar Ahmad Mizher