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» Additive Update Predictors in Active Appearance Models
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BMVC
2010
13 years 3 months ago
Additive Update Predictors in Active Appearance Models
The Active Appearance Model (AAM) provides an efficient method for localizing objects that vary in both shape and texture, and uses a linear regressor to predict updates to model ...
Philip A. Tresadern, Patrick Sauer, Timothy F. Coo...
BMVC
2002
13 years 7 months ago
Comparing Variations on the Active Appearance Model Algorithm
The Active Appearance Model (AAM) algorithm has proved to be a successful method for matching statistical models of appearance to new images. Since the original algorithm was desc...
Timothy F. Cootes, Panachit Kittipanya-ngam
IVC
2010
143views more  IVC 2010»
13 years 3 months ago
Video-based face model fitting using Adaptive Active Appearance Model
Active Appearance Model (AAM) represents the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAM for facial images is cu...
Xiaoming Liu
ICPR
2008
IEEE
14 years 6 months ago
Efficient image inner products applied to active appearance models
This paper introduces a clever way of computing inner products between images in order to drastically reduce the computational complexity of fitting appearance models to images. T...
Jan Erik Solem, Karl Netzell
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
13 years 11 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang