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Medical Image Analysis and Applications |
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MMedWeb – Multimedia Medical Conceptual Web for Intelligent Information Access This project aims at developing a framework for the semantic structuring and organization of multimedia medical information, including medical images and medical reports. This is a collaborative project with I2R, CNRS, France; Singapore General Hospital, and National University Hospital. |
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Simulation and Planning of Complex Cardiac Surgery This project aims at developing a system for the simulation and planning of complex cardiac surgery that involves major blood vessels such as the aorta, pulmonary artery, vena cava, and coronary arteries. This project is collaborated with National Taiwan University Hospital. |
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Analysis of Facial Images for Acne Classification and Quantification The objective of this project is to develop a system for classifying the types of acnes on a patient's face and to quantifying them (count number, compute area, etc.). This project is collaborated with National Skin Centre. |
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Model-Based Segmentation of Medical Images This project's objective is to develop model-based methods for segmenting anatomical structures in complex medical images. This is a collaborative project with Faculty of Medicine, NUS, and National University Hospital, and Singapore General Hospital. |
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X-ray Fracture Detection The objective of this project is to develop a system for screening and detection of fractures in x-ray images of femur, wrist, etc. This project is collaborated with Singapore General Hospital. We are now developing a prototype system for field test in Singapore General Hospital. |
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General Computer Vision |
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3D Motion Analysis for Sports Coaching This project's objective is to develop a system for sports coaching by matching 2D motion of a novice with 3D motion of an expert. Target sports include short burst sucha as golf swing and long, complex motion such as Taichi. > Demo: input-1, output-1 input-2, output-2 input-3, output-3 |
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City-Wide Surveillance with Multiple Cameras Our research goal is to develop a framework for city-wide surveillance, which includes tracking moving objects of interests over multiple camera views, analyzing the motion paths, and recognizing abnormal motion and behavior. |
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Rain Removal The objective of this project is to develop an algorithm that detects rain drops in a video clip and remove them. The algorithm has been applied to videos taken with both stationary and moving cameras. > demo |
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Perceptual Texture Space This project constructs a perceptual texture space in which texture similarity is measured in a perceptually consistent manner. The perceptual texture space is invariant to intensity, contrast, scale, orientation. |
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Other Research |
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Protein Docking This project's objective is to develop an algorithm that predicts possible binding of two proteins based on their 3D structures and electrostatic and chemical properties. |
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Robot Motion Planning and Control Multi-Robot Task Allocation This project studies motion planning of multiple robots and the dynamic allocation of tasks to the robots in response to chaninging environmental inputs. |
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