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ICCV
2011
IEEE
13 years 9 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
106
Voted
CVPR
2004
IEEE
15 years 11 months ago
Automatic View Recognition in Echocardiogram Videos Using Parts-Based Representation
Indexing echocardiogram videos at different levels of structure is essential for providing efficient access to their content for browsing and retrieval purposes. We present a nove...
Shahram Ebadollahi, Shih-Fu Chang, Henry Wu
94
Voted
CVPR
1999
IEEE
15 years 11 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
96
Voted
ICIAR
2010
Springer
15 years 2 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
100
Voted
FGR
2011
IEEE
238views Biometrics» more  FGR 2011»
14 years 1 months ago
The first facial expression recognition and analysis challenge
— Automatic Facial Expression Recognition and Analysis, in particular FACS Action Unit (AU) detection and discrete emotion detection, has been an active topic in computer science...
Michel François Valstar, Bihan Jiang, Marc ...