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ICPR
2008
IEEE
14 years 2 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
ICCV
2005
IEEE
14 years 1 months ago
Integrating the Effects of Motion, Illumination and Structure in Video Sequences
Most work in computer vision has concentrated on studying the individual effects of motion and illumination on a 3D object. In this paper, we present a theory for combining the ef...
Yilei Xu, Amit K. Roy Chowdhury
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
14 years 2 days ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
VISUALIZATION
1998
IEEE
13 years 12 months ago
Visualizing differences in movies of cortical activity
This paper discusses techniques for visualizing structure in video data and other data sets that represent time snapshots of physical phenomena. Individual frames of a movie are t...
Kay A. Robbins, David M. Senseman
IVC
2006
175views more  IVC 2006»
13 years 7 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher