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» Learning 3D Appearance Models from Video
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
IVC
2010
143views more  IVC 2010»
13 years 7 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
TOG
2012
266views Communications» more  TOG 2012»
11 years 11 months ago
Structure-aware synthesis for predictive woven fabric appearance
Woven fabrics have a wide range of appearance determined by their small-scale 3D structure. Accurately modeling this structural detail can produce highly realistic renderings of f...
Shuang Zhao, Wenzel Jakob, Steve Marschner, Kavita...
AAAI
2012
11 years 11 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
ISVC
2010
Springer
13 years 7 months ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu