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» Application of Level Set Methods in Computer Vision
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PRL
2007
163views more  PRL 2007»
15 years 7 months ago
A model based approach for pose estimation and rotation invariant object matching
Pose estimation has been considered to be an important component in many pattern recognition and computer vision systems. In this paper, we introduce a pose estimation method base...
Cem Ünsalan
203
Voted
NIPS
1998
15 years 9 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
ICPR
2008
IEEE
16 years 9 months ago
Accelerating active contour algorithms with the Gradient Diffusion Field
Active contours were proposed by Kass et al. as a way to represent the contours of an image. Although the method is simple, one of its shortcomings is its inability to converge in...
Willie Kiser, Pradeep Sen, Chris Musial
CVPR
2009
IEEE
17 years 2 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
ICCV
2009
IEEE
17 years 21 days ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl