Interactive Multimedia Lab is part of the Electrical and Computer Engineering Department of the National University of Singapore. IML research interests are image processing, computer vision, human-machine interaction, digital media, and visual perception. Most of their publications are available online.

You can find more information on specific research projects below.

Mixed-Reality Interfaces
Input functionality via keyboard and mouse is rather inefficient for many applications, for example managing multimedia information. One of our goals is to develop systems for more natural management of files and in particular photos or videos through a mixed-reality desktop. The aim is to facilitate the handling of such data, and to interface naturally with real-world objects such as the printer or a photo album using vision-based gesture analysis and tracking.


Camera Motion-Based User Interfaces
The user interface of mobile devices is severely limited due to the small form factor of these devices. The goal of this research is to design novel, intuitive UI controls based on the detection of 3D motion of the device using the integrated camera. These movements can then be used to control applications on the device. Application areas of particular interest multi-user mobile gaming and map navigation.


Multi-View Scene Analysis
A basic problem in computer vision is to reconstruct a real-world scene given several distinct views. Multiple cameras are placed in a room to take pictures of a scene, and their images are then combined into a 3D reconstruction of the objects in the scene. The purpose of this research is to develop algorithms for multi-view camera setup and scene analysis. Applications include 3D scene modeling, object tracking and motion capture, which can be of great use for immersive environments.


Perception and Attention
One of the challenges of perception is to understand where people focus their attention in an image or video. In still images of natural scenes, viewers tend to fixate on locations with high local image contrast. However, little is known about the features that attract attention when people watch video. We are studying the correlation of eye movements with both spatial and temporal features in order to understand, capture and predict visual attention. Applications of this work are found in human-computer interaction, assistive display technologies, video coding, video retrieval as well as surveillance.

Please visit the MXR lab Web Site for the latest news in mixed reality research 
  

http://www.iml.org.sg/