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» A Level-Set Approach to 3D Reconstruction from Range Data
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HLK
2003
IEEE
15 years 2 months ago
Generic Deformable Implicit Mesh Models for Automated Reconstruction
Deformable 3–D models can be represented either as explicit or implicit surfaces. Explicit surfaces, such as triangulations or wire-frame models, are widely accepted in the Comp...
Slobodan Ilic, Pascal Fua
ICCV
2001
IEEE
15 years 11 months ago
Reconstructing Surfaces Using Anisotropic Basis Functions
Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotr...
Huong Quynh Dinh, Greg Turk, Gregory G. Slabaugh
ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
15 years 2 months ago
Image-based localization with depth-enhanced image map
— In this paper, we present an image-based robot incremental localization algorithm which uses a panoramic image-based map enhanced with depth from a laser range finder. The ima...
Dana Cobzas, Hong Zhang, Martin Jägersand
MICCAI
2003
Springer
15 years 10 months ago
Cortical Shift Tracking Using a Laser Range Scanner and Deformable Registration Methods
A novel brain shift tracking protocol is introduced in this paper which utilizes laser range scan (LRS) data and 2D deformable image registration. This protocol builds on previous ...
Tuhin K. Sinha, Valerie Duay, Benoit M. Dawant, Mi...
CVPR
2007
IEEE
15 years 11 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt