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» Using Component Features for Face Recognition
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CVPR
2010
IEEE
15 years 10 months ago
Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum
COLING
2010
14 years 9 months ago
An Exploration of Features for Recognizing Word Emotion
Emotion words have been well used as the most obvious choice as feature in the task of textual emotion recognition and automatic emotion lexicon construction. In this work, we exp...
Changqin Quan, Fuji Ren
ICNC
2005
Springer
15 years 8 months 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
CVPR
2007
IEEE
16 years 4 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
147
Voted
ICIAP
2005
ACM
16 years 2 months ago
Asymmetric 3D/2D Processing: A Novel Approach for Face Recognition
Facial image analysis is very useful in many applications such as video compression, talking heads, or biometrics. During the last few years, many algorithms have been proposed in ...
Daniel Riccio, Jean-Luc Dugelay