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ICCV
2005
IEEE
16 years 5 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
MICCAI
2006
Springer
16 years 4 months ago
Automatic Segmentation of Jaw Tissues in CT Using Active Appearance Models and Semi-automatic Landmarking
Preoperative planning systems are commonly used for oral implant surgery. One of the objectives is to determine if the quantity and quality of bone is sufficient to sustain an impl...
José Antonio Gil, Mariano Alcañiz Ra...
152
Voted
FGR
2008
IEEE
234views Biometrics» more  FGR 2008»
15 years 10 months ago
Expression invariant 3D face recognition with a Morphable Model
We describe an expression-invariant method for face recognition by fitting an identity/expression separated 3D Morphable Model to shape data. The expression model greatly improve...
Brian Amberg, Reinhard Knothe, Thomas Vetter
ICCV
2005
IEEE
15 years 9 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 9 months ago
Using GP to Model Contextual Human Behavior
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
Hans Fernlund, Avelino J. Gonzalez