Irene Cheng

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Over the past decade, research in medical imaging and visualization has seen a progression from 2D to 3D and now 4D representation of medical data. 4D (3D +time) representation allows one to not only visualize a 3D structure, but also to study its functional movement. However, due to technological limitations no current acquisition modality acquires data in(More)
This paper describes using 3D chain expressions for encoding unit-width curve skeletons and measuring shape dissimilarity. By integrating a robust skeletonization technique with 3D chain coding, the proposed algorithm can compare not only the skeleton topology but also the curvature of skeleton segments. Robustness of the search and potential for retrieving(More)
Historically, the Internet has been viewed as a provider of a single level of service, that of "best effort", where all data packets are given the same priority in the network. However, service providers are increasingly realizing that the Internet in reality offers varying levels of service; some areas of the network may have high levels of congestion(More)
The need for calibration of multiple cameras working together in a network, or for the acquisition of free viewpoint video for 3D TV, is becoming increasingly important in recent years. In this paper we present a novel approach for calibrating multiple cameras using an ordinary globe that is usually available in every household. This method makes it(More)
In this paper, study of various image fusion techniques especially for multi-focus images has been introduced. With the increased development of technology, it is necessary to retrieve information from multi source images in order to produce a high quality fused image with spatial and spectral information. Image Fusion is the process that allows the(More)
Point-based scanning is commonly used for 3D data acquisition. Applications can simply adopt a point cloud representation avoiding the computational complexity of connectivity construction. Despite many state-of-the-art algorithms discussing point cloud representation and rendering, research on <i>dynamic point cloud visualization and interaction</i> still(More)
Preterm births are rising in Canada and worldwide. As clinicians strive to identify preterm neonates at greatest risk of significant developmental or motor problems, accurate predictive tools are required. Infants at highest risk will be able to receive early developmental interventions, and will also enable clinicians to implement and evaluate new methods(More)
Despite the technological advances in medical diagnosis, accurate detection of infectious tuberculosis (TB) still poses challenges due to complex image features and thus infectious TB continues to be a public health problem of global proportions. Currently, the detection of TB is mainly conducted visually by radiologists examining chest radiographs (CXRs).(More)
Technology has changed the landscape of how education is delivered to society. Despite the many innovative ideas adopted in education applications, research has been insufficient on developing a central collaborative edutainment interface, complemented by mobile communication and social media to enhance learner performance, especially for interpersonal and(More)