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» Sparse Image Reconstruction using Sparse Priors
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VMV
2008
117views Visualization» more  VMV 2008»
15 years 5 months ago
High-speed Motion Analysis with Multi-Exposure Images
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
Christian Linz, Timo Stich, Marcus A. Magnor
JMLR
2006
104views more  JMLR 2006»
15 years 3 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
125
Voted
MICCAI
2004
Springer
16 years 4 months ago
Rigid Registration of Freehand 3D Ultrasound and CT-Scan Kidney Images
This paper presents a method to register a preoperative CT volume to a sparse set of intraoperative US slices. In the context of percutaneous renal puncture, the aim is to transfer...
Antoine Leroy, Pierre Mozer, Yohan Payan, Jocelyne...
163
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Quadtree structured restoration algorithms for piecewise polynomial images
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
Adam Scholefield, Pier Luigi Dragotti
123
Voted
DCC
2001
IEEE
16 years 3 months ago
Compression of the Layered Depth Image
A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a 2D image, the LDI consists of an array of pixels...
Jiangang Duan, Jin Li