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» A bottom-up framework for robust facial feature detection
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WACV
2002
IEEE
15 years 2 months ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
83
Voted
FGR
2008
IEEE
155views Biometrics» more  FGR 2008»
15 years 4 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
68
Voted
CAIP
2007
Springer
150views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Hierarchical Detection of Multiple Organs Using Boosted Features
Abstract. We propose a framework for fast and automated initialization of segmentation algorithms in Computed Tomography images. Based on the idea that time-consuming voxel classiï...
Samuel Hugueny, Mikaël Rousson
FGR
2008
IEEE
358views Biometrics» more  FGR 2008»
15 years 4 months ago
Automatic 3D face reconstruction from single images or video
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
ICPR
2010
IEEE
14 years 7 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang