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» Metric graph reconstruction from noisy data
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ICIP
2010
IEEE
13 years 5 months ago
Exemplar-Based EM-like image denoising via manifold reconstruction
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Xin Li
ICCV
1999
IEEE
14 years 9 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih
VRCAI
2009
ACM
14 years 2 months ago
Segmentation of architecture shape information from 3D point cloud
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
SPIRE
2005
Springer
14 years 1 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
ICCV
2001
IEEE
14 years 9 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