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» 3D Shape Matching Using Skeleton Graphs
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ECCV
2006
Springer
16 years 1 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
CVIU
2011
14 years 3 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
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FIMH
2009
Springer
15 years 6 months ago
Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture
Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to as...
Carole Frindel, Marc C. Robini, Joël Schaerer...
ICCV
1995
IEEE
15 years 3 months ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs
IPPS
2000
IEEE
15 years 3 months ago
Bandwidth-Efficient Collective Communication for Clustered Wide Area Systems
Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A major problem in programming parallel applications for such platforms is their hierarchi...
Thilo Kielmann, Henri E. Bal, Sergei Gorlatch