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» Statistical Models of Appearance for Computer Vision
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CVPR
2000
IEEE
16 years 1 months ago
Statistical cues for Domain Specific Image Segmentation with Performance Analysis
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
Scott Konishi, Alan L. Yuille
IJCV
2010
158views more  IJCV 2010»
14 years 10 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
ECCV
2006
Springer
16 years 1 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
ICPR
2006
IEEE
16 years 29 days ago
Performance driven facial animation using illumination independent appearance-based tracking
We introduce a procedure to estimate human face high level animation parameters from a marker-less image sequence in presence of strong illumination changes. We use an efficient a...
Enrique Muñoz, José Miguel Buenaposa...
ICPR
2004
IEEE
16 years 29 days ago
Kernel-Based Method for Tracking Objects with Rotation and Translation
This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an ?-n...
Haihong Zhang, Liyuan Li, Weimin Huang, Zhiyong Hu...