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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data VIII"

共 419 条记录，以下是181-190 订阅

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Determining wind fields in atmospheric mountain waves using sailplane flight data

Determining wind fields in atmospheric mountain waves using ...

引用

conference on image reconstruction from incomplete data VII

作者： Zhang, Ni Millane, Rick P. Enevoldson, Einar Murray, James E. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Christchurch 1 New Zealand NASA Dryden Flight Res Ctr Edwardsville IL 93523 USA

ISBN: (纸本)9780819492173

The problem of estimating wind velocities from limited flight data recordings is considered, with application to sailplane flights in high-altitude atmospheric mountain waves. Sailplane flight recorders routinely measure only GPS position and the problem is highly underdetermined. The nature of this problem is studied and a maximum a posteriori estimator is developed using prior information on the wind velocity and the sailplane airspeed and heading. The method is tested by simulation and by application to sailplane flight data.

关键词： Maximum a posteriori wind velocity aircraft sailplane mountain wave atmospheric wave

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An Interaction Based CT reconstruction Algorithm for Blocked Projection data in a Dynamic ICT System

An Interaction Based CT Reconstruction Algorithm for Blocked...

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conference on Developments in X-Ray Tomography viii

作者： Chang, Ming Xiao, Yongshun Chen, Zhiqiang Jin, Xin Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China

ISBN: (纸本)9780819492234

In order to detect deformations of parts during the operating test, a novel dynamic industry computed tomography (ICT) system taking advantage of the rotation of specimens itself was purposed by us. However the stationary parts such as the shell around the turbine tips, which are hardly removed due to some industrial reasons, contaminate the projection data, so the blocks are not easily corrected from the projections as what we did in the traditional detector correction procedure. In this work, an interaction based CT reconstruction algorithm is purposed to deal the problem. First of all, we directly reconstruct the image with the contaminated projection data and an interactive match between the reconstructed image and the prior image is performed according to some obvious features. Then a forward-projection of the matched prior image with the practical geometric parameters is made. The block components in the projection data are estimated by calculating the average difference between the forward projections and the real projections of certain detectors. Finally, a new image can be reconstructed using the corrected data. Furthermore, the efficiency of the purposed algorithm is proved by both numerical simulation and practical experiments.

关键词： industry computed tomography (ICT) block interaction reconstruction

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Study of optical micro-scanning reconstruction

Study of optical micro-scanning reconstruction

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conference on image reconstruction from incomplete data VII

作者： Zhao, Xunjie Li, Chengjin Soochow Univ Sch Phys Sci & Technol Suzhou 215006 Peoples R China Sci & Technol ElectOpt Secur Lab Sanhe 065201 Peoples R China

ISBN: (纸本)9780819492173

Infrared images provide valuable information for many applications. However, compared to a visible image, the image quality is poor and its spatial resolution is limited due to the focal plane arrays cannot be made dense enough to yield a sufficiently high spatial sampling frequency, which consequently leads to image blurring. Optical micro-scanning technique has been proven to be an effective method to increase the resolution of images. This technique is able to produce high resolution (HR) images from a set of optically shifted images of low-resolution (LR). Over the last decade, optical micro-scanning technique has become one of the active topics of research, among this, the super-resolution (SR) reconstruction algorithms are the focus. This paper starts with the basic principle of SR reconstruction. Then several methods of high-precision movement registration algorithm and SR reconstruction algorithms were introduced. This study particularly focuses on the more recent development in motion estimation methods. Furthermore, an algorithm based on sub-pixel image registration that estimates the displacements of the LR image is presented. The critical steps in image registration are collecting feature points and estimating a spatial transformation especially when outliers are present. In this paper, the Harris corner detector is used to find the feature points and then the point feature is described by the neighborhood difference in order to reduce the sensitivity to illumination variations. Moreover, the Random Sample Consensus(RANSAC) algorithm is employed to build a transformation model. Simulation results demonstrate that the method can estimate the displacements accurately.

关键词： super-resolution reconstruction optical micro-scanning sub-pixel registration Harris corner detector RANSAC image interpolation feature matching

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Maximum subarray algorithms for use in optical and radio astronomy

Maximum subarray algorithms for use in optical and radio ast...

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conference on image reconstruction from incomplete data VII

作者： Weddell, S. J. Takaoka, T. Read, T. Candy, R. Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand Univ Canterbury Dept Comp Sci & Software Engn Christchurch 1 New Zealand

ISBN: (纸本)9780819492173

The maximum sub-array algorithm has been implemented within a field programmable gate array as an efficient centroiding method for wavefront slope estimation. However, a convenient platform for this work is a graphics processor unit (GPU). Translation of the maximum subarray algorithm to a GPU has been performed and shows significant performance gains compared to a single-core CPU. Recently, this algorithm has been applied to radio telescope images acquired for the Australian square kilometer array pathfinder project. This paper provides an overview of the maximum subarray algorithm and shows how this can be utilized for optical and radio telescope applications

关键词： graphics processing unit maximum subarray problem astronomical image processing

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Optical motion tracking to improve image quality in MRI of the brain

Optical motion tracking to improve image quality in MRI of t...

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conference on image reconstruction from incomplete data VII

作者： Maclaren, Julian Aksoy, Murat Ooi, Melvyn Bammer, Roland Stanford Univ Ctr Quantitat Neuroimaging Dept Radiol Stanford CA 94305 USA

ISBN: (纸本)9780819492173

Magnetic resonance imaging (MRI) of the brain is highly sensitivity to head motion. Prospective motion correction is a promising new method to prevent artifacts resulting from this effect. The image volume is continuously updated based on head tracking information, ensuring that the magnetic fields used for imaging maintain a constant geometric relationship relative to the object. This paper reviews current developments and methods of performing prospective correction. Optical tracking using cameras has major advantages over other methods used to obtain head pose information, as it does not affect the MR imaging process or interfere with the sequence timing. Results show that motion artifacts can be almost completely prevented for most imaging sequences. Despite this success, there are still engineering challenges to be solved before the technique becomes widely accepted in the clinic. These include improvements in miniaturization, marker fixation and MR compatibility.

关键词： MRI optical tracking prospective motion correction MR compatibility review

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Kepler mission exoplanet transit data analysis using fractal imaging

Kepler mission exoplanet transit data analysis using fractal...

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conference on image reconstruction from incomplete data VII

作者： Dehipawala, S. Tremberger, G., Jr. Majid, Y. Holden, T. Lieberman, D. Cheung, T. CUNY Queensborough Community Coll New York NY 11364 USA

ISBN: (纸本)9780819492173

The Kepler mission is designed to survey a fist-sized patch of the sky within the Milky Way galaxy for the discovery of exoplanets, with emphasis on near Earth-size exoplanets in or near the habitable zone. The Kepler space telescope would detect the brightness fluctuation of a host star and extract periodic dimming in the lightcurve caused by exoplanets that cross in front of their host star. The photometric data of a host star could be interpreted as an image where fractal imaging would be applicable. Fractal analysis could elucidate the incomplete data limitation posed by the data integration window. The fractal dimension difference between the lower and upper halves of the image could be used to identify anomalies associated with transits and stellar activity as the buried signals are expected to be in the lower half of such an image. Using an image fractal dimension resolution of 0.04 and defining the whole image fractal dimension as the Chi-square expected value of the fractal dimension, a p-value can be computed and used to establish a numerical threshold for decision making that may be useful in further studies of lightcurves of stars with candidate exoplanets. Similar fractal dimension difference approaches would be applicable to the study of photometric time series data via the Higuchi method. The correlated randomness of the brightness data series could be used to support inferences based on image fractal dimension differences. Fractal compression techniques could be used to transform a lightcurve image, resulting in a new image with a new fractal dimension value, but this method has been found to be ineffective for images with high information capacity. The three studied criteria could be used together to further constrain the Kepler list of candidate lightcurves of stars with possible exoplanets that may be planned for ground-based telescope confirmation.

关键词： fractal imaging Kepler mission exoplanets time series

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A New Technique for Hyperspectral Compressive Sensing Using Spectral Unmixing

A New Technique for Hyperspectral Compressive Sensing Using ...

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conference on Satellite data Compression, Communications, and Processing viii

作者： Martin, Gabriel Bioucas Dias, Jose M. Plaza, Antonio J. Univ Extremadura Hyperspectral Comp Lab Avda Univ S-N Caceres 10003 Spain Inst Super Tecn Inst Telecommun P-1049001 Lisbon Portugal

ISBN: (纸本)9780819492319

In hyperspectral imaging, the instruments measure the light reflected by the Earth surface in hundreds or thousands of spectral bands, generating huge amounts of data that must be effectively processed. The real-time requirements of some applications demand large bandwidths between the sensor and the ground stations. In order to simplify the hardware and software requirements of the hyperspectral acquisition systems, we develop a compressive sensing (CS) based technique for hyperspectral image reconstruction. CS is applicable when the data is compressible (or sparse) in a given basis or frame. This is usually the case with hyperspectral images as a consequence of its high correlation. The hyperspectral images which are compressible can be recovered from a number of measurements much smaller than the size of the original data. This compressed version of the data can then be sent to a ground station that will recover the original image by running a reconstruction algorithm. Specifically, in this work we elaborate on a previously introduced hyperspectral coded aperture (HYCA) algorithm. The performance of HYCA relies on the tuning of a regularization parameter, which is a time consuming task. Herein, we introduce a constrained formulation of HYCA, termed constrained HYCA (C-HYCA), which does not depend on any regularization parameter. C-HYCA optimization is solved with the C-SALSA alternating direction method of multipliers. In a series of experiments with simulated and real data we show that C-HYCA performance is similar to that of HYCA obtained with the best regularization parameter setting.

关键词： Hyperspectral image analysis compressive sensing spectral unmixing C-SALSA alternating direction method of multipliers

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Scattering computation for 3D laser imagery and reconstruction algorithms

Scattering computation for 3D laser imagery and reconstructi...

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conference on Reflection, Scattering, and Diffraction from Surfaces III

作者： Berechet, Ion Berginc, Gerard Berechet, Stefan SISPIA SARL 18 Allee Henri Dunant F-94300 Vincennes France THALES OPTRONIQUE SA F-782995 Elancourt France

ISBN: (纸本)9780819492128

This paper addresses non-conventional three-dimensional imaging with laser systems which explores the advantages of laser imagery to form a three-dimensional image of the scene. In this paper, we present the 3D laser scattering simulation of objects hidden behind porous occluders, such as foliage or camouflage. The physics based model presented in this paper is designed to provide accurate results but also to include all the electromagnetic interaction mechanisms with the different elements of the scene. A 3D laser cross-section computer model is used to develop reconstruction algorithms to obtain a high-resolved three-dimensional image. Synthetic images of three-dimensional objects are based on extraction of laser backscattered signals. But 3D reconstruction must take into account sparse collected data and reconstruction algorithms must solve a complex multi-parameter inverse problem. The objective of our paper is also to present new algorithmic approaches for the generation of 3D surface data from 3D sparse point clouds corresponding to our reconstruction algorithm. The role of this type of algorithmic process is to complete the 3D image at satisfactory levels for reliable identification of concealed objects. Identifying targets or objects concealed by foliage or camouflage is a critical requirement for operations in public safety, law enforcement and defense.

关键词： scattering computation 3D laser imagery 3D reconstruction algorithms identification of concealed objects foliage penetration data-driving process incomplete area completion generation of point cloud surfaces

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Semiconducting bilinear deep learning for incomplete image recognition 12

Semiconducting bilinear deep learning for incomplete image r...

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2nd ACM International conference on Multimedia Retrieval, ICMR 2012

作者： Zhong, Sheng-Hua Liu, Yan Chung, Fu-Lai Wu, Gangshan Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9781450313292

image recognition with incomplete data is a well-known hard problem in multimedia content analysis. This paper proposes a novel deep learning technique called semiconducting bilinear deep belief networks (SBDBN) by referencing human's visual cortex and intelligent perception. Inheriting from deep models, SBDBN simulates the laminar structure of human's cerebral cortex and the neural loop in human's visual areas. To address the special difficulties of image recognition with incomplete data, we design a novel second-order deep architecture with semiconducting restricted boltzmann machines. Moreover, two peaks activation of human's perception is implemented by three learning stages of semiconducting bilinear discriminant initialization, greedy layer-wise reconstruction, and global finetuning. Owing to exploiting the embedding information according to the reliable features rather than any completion of missing features, the proposed SBDBN has demonstrated outstanding recognition ability on two standard datasets and one constructed dataset, comparing with both incomplete image recognition techniques and existing deep learning models. Copyright © 2012 ACM.

关键词： image recognition

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3D Rheims reconstruction through ages: Robust and invariant postcard matching 12

3D Rheims reconstruction through ages: Robust and invariant ...

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27th image and Vision Computing New Zealand conference, IVCNZ 2012

作者： Romaniuk, Barbara Younes, Lara Bittar, Éric Reims University CReSTIC-SIC Lab. Rue des Crayères 51687 Reims Cedex 2 France

ISBN: (纸本)9781450314732

We present the first step of the Rheims city (France) 3D reconstruction based on old postcards. Rheims endured drastic destruction during the First and then the Second World Wars. Old postcards, embodying the period from the beginning to the end of the 20th century, establish a testimony of the evolution in time and space of the most important places and monuments in the city. We aim to localize, render and visualize in 3D the buildings of this city, by using this sparse dataset and incomplete cadastral surveys. image matching is initially required for locating a building in the city space. In this paper we propose a performance comparison of state-of-the-art detector-descriptor couples. We focus on their robustness and their transformations invariance when low resolution data is subject to temporal and space modifications. © 2012 ACM.

关键词： image matching

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