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Scalable vision machines

NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. T more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Computer Vision-based direct interaction with a large display

This project investigates a natural Human-Computer Interaction system to support direct interaction with a large display system. more...

Supervisor(s): Takatsuka, Masahiro (Associate Professor)

Medical Image Mining for Computer-Aided Diagnosis

Identification of valid, novel, potentially useful, and ultimately understandable pathologic patterns in large-scale medical image archives for computer-aided diagnosis more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Feature-Centric Content Analysis for Bioimaging Informatics

This study aims to develop novel algorithms for content analysis in microscopic images, such as segmentation of cell nuclei, detection of certain cell structures, and tracing of cel more...

Supervisor(s): Cai, Tom Weidong (Associate Professor)

Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Visual Feature Extraction for Image Pattern Classification

This study aims to investigate the various techniques of image feature extraction, and to develop new methodologies for various applications in the medical imaging domain. more...

Supervisor(s): Cai, Tom Weidong (Associate Professor)

Interactive Volumetric Rendering method using Contour Tree Simplification

This project investigates new methods to efficiently render volumetric data based on the region of interests. more...

Supervisor(s): Takatsuka, Masahiro (Associate Professor)

Multimedia Streaming with Peer-to-Peer Techniques

This project is to address the challenging issues in multimedia delivery with peer-to-peer computing techniques which have been widely used for file sharing applications such as Bit more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Multimodality Medical Image Segmentation

Automated delineation of tissues, organs and hot-spot volumes from medical images by adaptively using the complementary information from multiple imaging modalities more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Functional Brain Image Understanding for Differential Diagnosis of Dementia

Intelligent analysis of functional brain images and extraction of pathologic patterns from large-group study for early diagnosis of dementia types more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)