Dr Bappaditya Mandal's Outputs (3)

Vision and Memory: Looking Beyond Immediate Visual Perception (2016)
Book Chapter
Tan, C., Lallee, S., & Mandal, B. (2017). Vision and Memory: Looking Beyond Immediate Visual Perception. In Computational and Cognitive Neuroscience of Vision (195-219). Springer. https://doi.org/10.1007/978-981-10-0213-7_9

The topic of vision is “often studied as if our conscious experience were the ultimate end-product of visual processing” (Hayhoe 2009), with research sometimes overly focused on immediate visual perception—processes aimed at understanding the current... Read More about Vision and Memory: Looking Beyond Immediate Visual Perception.

Trends in Machine and Human Face Recognition (2016)
Book Chapter
Mandal, B., Lim, R. Y., Dai, P., Sayed, M. R., Li, L., & Lim, J. H. (2016). Trends in Machine and Human Face Recognition. In Advances in Face Detection and Facial Image Analysis (145-187). Springer. https://doi.org/10.1007/978-3-319-25958-1_7

Face recognition (FR) is a natural and intuitive way for human beings to identify or verify or at least get familiar and interact with other members of the community. Hence, human beings expect and endeavor to develop similar competency in machine re... Read More about Trends in Machine and Human Face Recognition.

Kernel Fisher Discriminant Analysis in Full Eigenspace (2008)
Book Chapter
Mandal. (2008). Kernel Fisher Discriminant Analysis in Full Eigenspace. In Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, (235-241)

This work proposes a method which enables us to perform kernel Fisher discriminant analysis in the whole
eigenspace for face recognition. It employs the ratio of eigenvalues to decompose the entire kernel feature space into two subspaces: a reliable... Read More about Kernel Fisher Discriminant Analysis in Full Eigenspace.