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» Learning Hierarchical Shape Models from Examples
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ICPR
2006
IEEE
14 years 10 months ago
A Ground Truth Correspondence Measure for Benchmarking
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson
ICPR
2006
IEEE
14 years 10 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
VRST
1997
ACM
14 years 1 months ago
Image-based view synthesis by combining trilinear tensors and learning techniques
We present a new method for rendering novel images of flexible 3D objects from a small number of example images in correspondence. The strength of the method is the ability to sy...
Shai Avidan, Theodoros Evgeniou, Amnon Shashua, To...
EDUTAINMENT
2007
Springer
14 years 1 months ago
View-Dependent Hierarchical Foliage Simplification
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...
Qingqiong Deng, Xiaopeng Zhang, Marc Jaeger
CVPR
2009
IEEE
14 years 29 days ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia