Spectral characterization of a color scanner by adaptive estimation

Author name used in this publication: John H. xin2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Computational models for fusion of texture and color : a comparative study

Author name used in this publication: John H. Xin2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Analysis and synthesis of multicolored objects in a single image

Author name used in this publication: John H. Xin2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Computational model for color mapping on texture images

Author name used in this publication: John H. Xin2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Accurate color synthesis of three-dimensional objects in an image

Author name used in this publication: John H. Xin2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Spectral characterization of a color scanner based on optimized adaptive estimation

Author name used in this publication: John H. Xin2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Transferring color between three-dimensional objects

Author name used in this publication: John H. Xin2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Estimation of spectral reflectance of object surfaces with the consideration of perceptual color space

Author name used in this publication: John H. Xin2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Efficient simulation of the spatial transmission dynamics of influenza

Early data from the 2009 H1N1 pandemic (H1N1pdm) suggest that previous studies over-estimated the within-country rate of spatial spread of pandemic influenza. As large spatially resolved data sets are constructed, the need for efficient simulation code with which to investigate the spatial patterns of the pandemic becomes clear. Here, we present a significant improvement to the efficiency of an individual based stochastic disease simulation framework commonly used in multiple previous studies. We quantify the efficiency of the revised algorithm and present an alternative parameterization of the model in terms of the basic reproductive number. We apply the model to the population of Taiwan and demonstrate how the location of the initial seed can influence spatial incidence profiles and the overall spread of the epidemic. Differences in incidence are driven by the relative connectivity of alternate seed locations. The ability to perform efficient simulation allows us to run a batch of simulations and take account of their average in real time. The averaged data are stable and can be used to differentiate spreading patterns that are not readily seen by only conducting a few runs. © 2010 Tsai et al.published_or_final_versio

Colorimetric characterization of scanner by measures of perceptual color error

Author name used in this publication: John H. Xin2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe