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Dr. AJMAL S. MIAN's Home Page

VACANT POSITION!! Research Associate/ Research Assistant Professor (applications close 11 Dec 2009). For details click here and then select Ref 2977 or download flyer.

Research

	Shade Face: Muliple Image-based face recognition A global signature of the face, under varying illumination, is constructed using contourlet coefficients. Illumination is varied using a computer screen. Face signatures are matched using sliding windows and the results are compared to 3D face recognition.		3D Scale Invariant Keypoints Multi-scale keypoints are detected on 3D objects/ partial surfaces for pose and scale invariant object retrieval from cluttered scenes. Features are ranked using a quality measure and the best scale for feature (at a keypoint) is automatically determined from data.
	Smart Surveillance This project is still active and has two components, video-based face recognition and human activity recognition. Demos and code for realtime face tracking with a PTZ camera are available.		Video-based Face Recognition Unsupervised learning is performed from local features for video-based face recognition. An extension of this technique performs online learning (with near realtime feedback) and face recognition.
	3D Multimodal hybrid face recognition This research has focused on automatic pose correction, keypoint identification, local feature extraction and a region-based matching for robust 3D face recognition.		Keypoint based 3D Face Recognition Unique keypoints are detected on 3D faces to extract invariant features that are projected to the PCA subspace and matched. Similarity between faces is measured using graphs (meshes) constructed from the matching keypoints on individual faces.
	3D object recognition in cluttered scenes An algorithm is prposed for 3D object recognition in cluttered scenes and its performance is compared to the spim images on the same database. The database can be downloaded for comparisons.		Non-Rigid 3D Face Recognition Expression deformations are modelled in PCA subspace and the model is used to morph out expressions from 3D faces. The resulting faces are used for expression invariant 3D face recognition.
	3D modeling A representation for 2.5D surfaces is proposed based on third order tensors. Tensors are used to registere unordered views of an object to construct its complete 3D model. Data is available for comparisons.		Facial Expression Classification An unseen 3D face, under any facial expression, is decomposed into an estimated 3D neutral face and expression deformations. This decomposition classifies the facial expression and improves the accuracy of3D face recognition..
	Internet key exchange A new protocol (Arcanum) has been proposed for secure key exchange over the Internet. Arcanum is secure, robust to DoS attacks and more efficient in terms of CPU consumption and network traffic. Java code can be downloaed.		Integrating Local and Global Features for 3D Face Recognition Local and global geometrical cues are integrated into in a single compact representation for 3D face recognition. The global cues provide geometrical coherence for the local cues resulting in better descriptiveness.

Research Grants
ARC Discovery Grant 2010 - 2012, "Person Identification using Multiple Non-invasive Iris and Face Biometrics in Video".
ARC Discover Grant 2008 - 2010, "Integration of Spatio-temporal Video Data for Realtime Smart Proactive Surveillance".
UWA Research Development Award 2010, "Automatic Construction of 3D Deformable Fish Models for Biomass Measurement and Identification".
UWA Research Grant 2007, "Fusion of Physiological and Behavioural Biometrics for Foolproof User Authentication".

Awards
Australian Postdoctoral Fellowship (APD), 2008
Australasian Distinguished Doctoral Dissertation Award, 2006 (thesis)
Postdoc Award for Best Work Accepted for Publication, 2009
Australian Academy of Science ARC Award, 2009
Prize for Higher Degree by Research Achievements, 2007
Postgraduate Research Travel Award, 2005
Special Commendation for Higher Degree by Research Achievements, 2006

PhD students
Faisal R. Al-Osaimi (thesis submitted - Nov, 2009)
Navid Mavaddat (co-supervised with Prof. R. Owens)
Zohaib Khan (to join in Feb, 2010)
Asad Ali (to join in Feb, 2010)

Conference Committee Member
Int’l Conf. on Imaging for Crime Detection and Prevention (ICDP) 2009.
Int'l Workshop on Representation and Modeling of Large-scale 3D Environments (Modeling-3D), 2009.
Int'l Conf. on Image and Vision Computing New Zealand (IVCNZ), 2009.
Int'l Conf. on Computer Vision Theory and Applications (VISAPP),  2006, 2007, 2008 and 2009.
Int'l Conf. on Machine Vision (ICMV), 2007
British Machine Vision Conference (BMVC), 2007
Int'l Conf. on Signal Processing and Multimedia Applications (SIGMAP), 2006 and 2007

I review papers for the following journals
IEEE Trans. on Pattern Anaylsis and Machine Intelligence (TPAMI)
Int'l Journal of Computer Vision (IJCV)
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT)
IEEE Trans. on Image Processing
IEEE Trans. on Information Forensics and Security
Image and Vision Computing (Elsevier)
IEEE Trans. on Information Theory (IEEE IT)
Pattern Recognition Letters (Elsevier)
IEEE Trans. on Systems Man and Cybernetics B (SMC)
Signal Processing Journal (Elsevier)
Assembly Automation, Industrial Robot , Sensor Review (Emerald Group Publishing Ltd.)

I have reviewed papers for the following conferences
IVCNZ 2008, IVCNZ  2006, IVCNZ 2005, Australian Joint Conference on AI 2006 and 2005, BMVC 2006, ISSPA 2005, 3DIM 2005, IEEE WACV 2005 and Int'l Conf. on Dependable Systems and Networks (DSN), 2004.