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» Optimal recovery approach to image interpolation
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CRV
2004
IEEE
147views Robotics» more  CRV 2004»
13 years 11 months ago
Shape from Contours and Multiple Stereo - A Hierarchical, Mesh-Based Approach
We present a novel method for 3D shape recovery based on a combination of visual hull information and multi image stereo. We start from a coarse triangle mesh extracted from visua...
Hendrik Kiick, Wolfgang Heidrich, Christian Vogelg...
CVPR
2000
IEEE
14 years 9 months ago
Layer Extraction from Multiple Images Containing Reflections and Transparency
Many natural images contain reflections and transparency, i.e., they contain mixtures of reflected and transmitted light. When viewed from a moving camera, these appear as the sup...
Richard Szeliski, Shai Avidan, P. Anandan
VLSM
2005
Springer
14 years 1 months ago
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking
Abstract. In this paper, we propose a novel technique to address motion estimation and tracking. Such technique represents the motion field using a regular grid of thin-plate spli...
Konstantinos Karantzalos, Nikos Paragios
TIP
2008
126views more  TIP 2008»
13 years 7 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
CVPR
1999
IEEE
14 years 9 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer