55 search results - page 7 / 11 » Imaging applications of stochastic minimal graphs |
CVPR
2008
IEEE
15 years 11 days ago
2008
IEEE
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graph...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
IPMI
2005
Springer
14 years 3 months ago
2005
Springer
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...
CVPR
2008
IEEE
13 years 10 months ago
2008
IEEE
Efficient segmentation of globally optimal surfaces in volumetric images is a central problem in many medical image analysis applications. Intra-class variance has been successful...
VAST
2004
ACM
14 years 3 months ago
2004
ACM
Digitizing real-life objects via range scanners, stereo vision or tactile sensors usually requires the composition of multiple range images. In this paper we exploit intensity ima...