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» A novel method for alignment of 3D models
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
3DPVT
2004
IEEE
188views Visualization» more  3DPVT 2004»
13 years 11 months ago
3D Shape Registration using Regularized Medial Scaffolds
This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...
3DOR
2008
13 years 10 months ago
3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor
We present a novel 3D object retrieval method that relies upon a hybrid descriptor which is composed of 2D features based on depth buffers and 3D features based on spherical harmo...
Panagiotis Papadakis, Ioannis Pratikakis, Theohari...
ICIP
2001
IEEE
14 years 9 months ago
Towards automatic modeling of 3D cultural heritage
Exporting to cultural heritage methods and tools used in industrial areas, where the profits can justify high modeling costs, may only be a starting point for cultural heritage mo...
Marco Andreetto, Riccardo Bernardini, Guido Maria ...
SMI
2008
IEEE
146views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Local volumetric features for 3D model retrieval
In this paper, we describe a method of shape-based 3D model retrieval that employs a set of 3D, local, multi-scale features extracted from a voxel representation of a 3D model to ...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi