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PRL
2010
188views more  PRL 2010»
13 years 5 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
TIP
2008
269views more  TIP 2008»
13 years 7 months ago
An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images
This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The proposed method has bee...
Jeong-Seon Park, Seong-Whan Lee
ASAP
2006
IEEE
97views Hardware» more  ASAP 2006»
14 years 1 months ago
Dynamic-SIMD for lens distortion compensation
An increasing computational demand is placed on the image processing capacity of current and future smart cameras. SIMD processor architectures provide an efficient solution becau...
Bart Mesman, Hamed Fatemi, Henk Corporaal, Twan Ba...
MICCAI
2009
Springer
14 years 4 months ago
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation
Modeling and analysis of MR images of the early developing human brain is a challenge because of the transient nature of different tissue classes during brain growth. To address th...
Piotr A. Habas, Kio Kim, François Rousseau,...
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...