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IJHPCA
2008
104views more  IJHPCA 2008»
13 years 4 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
ICIP
2007
IEEE
14 years 6 months ago
Phase PCA for Dynamic Texture Video Compression
Temporal or dynamic textures (DT's) are video sequences that are spatially repetitive and temporally stationary. DT's are temporal analogs of the well known spatial stil...
Bernard Ghanem, Narendra Ahuja
IVC
2008
156views more  IVC 2008»
13 years 4 months ago
Color PCA eigenimages and their application to compression and watermarking
From the birth of multi
Arash Abadpour, Shohreh Kasaei
CGI
2004
IEEE
13 years 8 months ago
Fast Environmental Lighting for Local-PCA Encoded BTFs
Rendering geometric models with complex surface materials in arbitrary lighting environments is a challenging problem. In order to relight and render geometries covered with compl...
Gero Müller, Jan Meseth, Reinhard Klein
CRV
2005
IEEE
118views Robotics» more  CRV 2005»
13 years 10 months ago
An Object Detection System using Image Reconstruction with PCA
We present an object detection system that is applied to detecting pedestrians in still images, without assuming any a priori knowledge about the image. The system works as follow...
Luis Malagón-Borja, Olac Fuentes