Structured ordinal features for appearance-based object representation

Authors:
Shengcai Liao;Zhen Lei;Stan Z. Li;Xiaotong Yuan;Ran He
Affiliations:
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Year:
2007

Citing 11
Cited 1

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved boosting algorithms using confidence-rated predictions

COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Boxlets: a fast convolution algorithm for signal processing and neural networks

Proceedings of the 1998 conference on Advances in neural information processing systems II
Distortion Invariant Object Recognition in the Dynamic Link Architecture

IEEE Transactions on Computers
Qualitative Representations for Recognition

BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Summed-area tables for texture mapping

SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Feature-centric evaluation for efficient cascaded object detection

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face recognition using ordinal features

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

Heterogeneous Face Recognition from Local Structures of Normalized Appearance

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a circle symmetrically. SOF is invariant to linear transformations on images and is flexible enough to represent different local structures of different complexity. We further extend SOF to Multi-scale Structured Ordinal Feature (MSOF) by concatenating binary strings of multi-scale SOFs at a fix position. In this way, MSOF encodes not only microstructure but also macrostructure of image patterns, thus provides a more powerful image representation. We also present an efficient algorithm for computing MSOF using integral images. Based on MSOF, statistical analysis and learning are performed to select most effective features and construct classifiers. The proposed method is evaluated with face recognition experiments, in which we achieve a high rank-1 recognition rate of 98.24% on FERET database.