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Scene Reconstruction with Sparse Range Information
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005This paper addresses an approach to scene reconstruction by inferring missing range data in a partial range map based on intensity image and sparse initial range data. It is assumed that the initial known range data is given on a number of scan lines one pixel width. This assumption is natural for a range sensor to acquire range data in a 3D real world
Guangyi Chen 0001 +2 more
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Sparse modelling and sparse signal reconstruction
Abstract Signal models are central to solving inverse problems, and reconstruction methods either implicitly or explicitly make use of signal models. Assuming the unknown signal of interest lies in a class of signals described by a signal model, we wish to reconstruct the signal with an algorithm that is sample efficient (i.e., only ...openaire +1 more source
Reconstructing sparse trigonometric functions
ACM Communications in Computer Algebra, 2011Cuyt, Annie, Lee, Wen-Shin
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Fourier diffusion for sparse CT reconstruction
Medical Imaging 2024: Physics of Medical ImagingSparse CT reconstruction continues to be an area of interest in a number of novel imaging systems. Many different approaches have been tried including model-based methods, compressed sensing approaches, and most recently deep-learning-based processing.
Anqi, Liu +2 more
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Sparse-Prony FRI signal reconstruction
Signal, Image and Video Processing, 2023P. Sudhakar Reddy +2 more
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An Efficient Line Search for Sparse Reconstruction
2023Shima Shabani, Michael Breuß
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Sparse Signal Reconstruction via Collaborative Neurodynamic Optimization
Neural Networks, 2022Jun Wang, Andrzej Cichocki, Hangjun Che
exaly
Session TA3b: Sparse reconstruction
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011openaire +2 more sources
DRONE: Dual-Domain Residual-Based Optimization NEtwork for Sparse-View CT Reconstruction
IEEE Transactions on Medical Imaging, 2021Varut Vardhanabhuti, Ge Wang, Ge Wang
exaly