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» Testing Properties of Sparse Images
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TMI
2011
127views more  TMI 2011»
14 years 8 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
ECCV
2004
Springer
16 years 3 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
EMMCVPR
2011
Springer
14 years 1 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
SGP
2003
15 years 3 months ago
Global Conformal Parameterization
We solve the problem of computing global conformal parameterizations for surfaces with nontrivial topologies. The parameterization is global in the sense that it preserves the con...
Xianfeng Gu, Shing-Tung Yau
CVPR
2008
IEEE
16 years 3 months ago
Order consistent change detection via fast statistical significance testing
Robustness to illumination variations is a key requirement for the problem of change detection which in turn is a fundamental building block for many visual surveillance applicati...
Maneesh Singh, Vasu Parameswaran, Visvanathan Rame...