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» Layered Object Models for Image Segmentation
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ICCV
2009
IEEE
16 years 2 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke
ICCV
2003
IEEE
15 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
CVPR
2008
IEEE
15 years 11 months ago
From appearance to context-based recognition: Dense labeling in small images
Traditionally, object recognition is performed based solely on the appearance of the object. However, relevant information also exists in the scene surrounding the object. As supp...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
ICCV
2011
IEEE
13 years 9 months ago
Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade
ICIAR
2010
Springer
15 years 1 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers