All Outputs (127)

Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring (2011)
Conference Proceeding
Lu, H., Eng, H., Mandal, B., Chan, D. W., & Ng, Y. (2011). Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. . https://doi.org/10.1109/IEMBS.2011.6092040

This paper proposes a markerless video analytic system for quantifying body part movements in pediatric epilepsy monitoring. The system utilizes colored pajamas worn by a patient in bed to extract body part movement trajectories, from which various f... Read More about Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring.

A coarse-grained spectral signature generator (2007)
Conference Proceeding
Lam, K., Austin, J., & Day, C. (2007). A coarse-grained spectral signature generator. . https://doi.org/10.1117/12.736723

This paper investigates the method for object fingerprinting in the context of element specific x-ray imaging. In particular, the use of spectral descriptors that are illumination invariant and viewpoint independent for pattern identification was exa... Read More about A coarse-grained spectral signature generator.

Visualising multidimensional signals from a dimension-dependent computational perspective (2006)
Conference Proceeding
Lam, K., & Austin, J. (2006). Visualising multidimensional signals from a dimension-dependent computational perspective.

Improved Bayesian Approach for Face Recognition (2005)
Conference Proceeding
Jiang, X., Mandal, B., & Kot, A. (2005). Improved Bayesian Approach for Face Recognition. In 2005 5th International Conference on Information Communications & Signal Processing, Bangkok, 2005 (162-166). https://doi.org/10.1109/ICICS.2005.1689026

In subspace face recognition, PCA, LDA and Bayesian are the most commonly used methods. Each of them has their own advantages and disadvantages in recognizing human faces. Their recognition rates depend much on the methodologies used in selecting/tra... Read More about Improved Bayesian Approach for Face Recognition.

Characterisation of doped Ceria powders prepared by wet chemical methods (1999)
Conference Proceeding
Torrens, R., Sammes, N., Kendall, K., & Austin, J. (1999). Characterisation of doped Ceria powders prepared by wet chemical methods. In Solid Oxide Fuel Cells: (SOFC VI) : Proceedings of the Sixth International Symposium

Face recognition: Perspectives from the real world
Conference Proceeding
Mandal, B. (2016). Face recognition: Perspectives from the real world. . https://doi.org/10.1109/icarcv.2016.7838675

In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what the system can deliver. We evaluate some of the existing algorithms w... Read More about Face recognition: Perspectives from the real world.

Learning cognitive manifolds of faces
Conference Proceeding
Li, L., Mandal, B., Tan, C., & Lim, J. (2017). Learning cognitive manifolds of faces. . https://doi.org/10.1109/siprocess.2017.8124584

Inspired by the studies in psychology and neuroscience, we propose a computational model of cognitive face representation that mimics the mechanism of human face perception. We propose to learn two separate manifolds for facial identity and facial ex... Read More about Learning cognitive manifolds of faces.