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TIFS
2008
157views more  TIFS 2008»
15 years 6 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
ECCV
2000
Springer
16 years 8 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
TIFS
2010
140views more  TIFS 2010»
15 years 1 months ago
An Evaluation of Video-to-Video Face Verification
Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedd...
Norman Poh, Chi-Ho Chan, Josef Kittler, Séb...
CVPR
1998
IEEE
16 years 8 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
ICNC
2005
Springer
16 years 4 days ago
Line-Based PCA and LDA Approaches for Face Recognition
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Vo Dinh Minh Nhat, Sungyoung Lee