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PAMI
2006
99views more  PAMI 2006»
13 years 8 months ago
Symbolic Signatures for Deformable Shapes
Recognizing classes of objects from their shape is an unsolved problem in machine vision that entails the ability of a computer system to represent and generalize complex geometric...
Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
14 years 2 months ago
Self-organizing primitives for automated shape composition
Motivated by the ability of living cells to form into specific shapes and structures, we present a new approach to shape modeling based on self-organizing primitives whose behavi...
Linge Bai, Manolya Eyiyurekli, David E. Breen

Publication
400views
15 years 3 months ago
Enforcing Integrability by Error Correction using L1-minimization
Surface reconstruction from gradient fields is an important final step in several applications involving gradient manipulations and estimation. Typically, the resulting gradient ...
Dikpal Reddy, Amit K. Agrawal, Rama Chellappa
MICCAI
2009
Springer
14 years 9 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
IPMI
2003
Springer
14 years 9 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...