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» Facial Feature Detection Using Distance Vector Fields
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ICPR
2010
IEEE
13 years 7 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
ICPR
2004
IEEE
14 years 8 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
FGR
2008
IEEE
155views Biometrics» more  FGR 2008»
14 years 1 months ago
Biased discriminant analysis using composite vectors for eye detection
We propose a new discriminant analysis using composite vectors for eye detection. A composite vector consists of a number of pixels inside a window on an image. The covariance of ...
Chunghoon Kim, Matthew Turk, Chong-Ho Choi
VISSYM
2003
13 years 8 months ago
Feature Flow Fields
Feature tracking algorithms for instationary vector fields are usually based on a correspondence analysis of the features at different time steps. This paper introduces a method ...
Holger Theisel, Hans-Peter Seidel
ICIAR
2004
Springer
14 years 25 days ago
A Coarse-to-Fine Classification Scheme for Facial Expression Recognition
Abstract. In this paper, a coarse-to-fine classification scheme is used to recognize facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise) of novel ex...
Xiaoyi Feng, Abdenour Hadid, Matti Pietikäine...