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ICCV
2007
IEEE
15 years 11 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
MICCAI
2005
Springer
15 years 10 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
STDBM
2004
Springer
171views Database» more  STDBM 2004»
15 years 3 months ago
Extracting Mobility Statistics from Indexed Spatio-Temporal Datasets
With the recent progress of spatial information technologies and mobile computing technologies, spatio-temporal databases which store information on moving objects including vehicl...
Yoshiharu Ishikawa, Yuichi Tsukamoto, Hiroyuki Kit...
CVPR
2003
IEEE
15 years 11 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
IV
2002
IEEE
88views Visualization» more  IV 2002»
15 years 2 months ago
Visualizing Spatially Varying Distribution Data
Box plot is a compact representation that encodes the minimum, maximum, mean, median, and quartile information of a distribution. In practice, a single box plot is drawn for each ...
David T. Kao, Alison Luo, Jennifer L. Dungan, Alex...