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» Using Component Features for Face Recognition
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ISVC
2007
Springer
15 years 8 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
CRV
2005
IEEE
132views Robotics» more  CRV 2005»
15 years 8 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
148
Voted
FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
15 years 9 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
126
Voted
FGR
2002
IEEE
185views Biometrics» more  FGR 2002»
15 years 7 months ago
Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering
This paper presents algorithms and a prototype system for hand tracking and hand posture recognition. Hand postures are represented in terms of hierarchies of multi-scale colour i...
Lars Bretzner, Ivan Laptev, Tony Lindeberg
132
Voted
ICCV
2007
IEEE
16 years 4 months ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller