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» Optimal recovery approach to image interpolation
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CRV
2004
IEEE
147views Robotics» more  CRV 2004»
15 years 2 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
16 years 18 days 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
15 years 4 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»
14 years 10 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
16 years 18 days 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