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

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Hybrid Scene reconstruction by Integrating Scan data and Stereo image Pairs

Hybrid Scene Reconstruction by Integrating Scan Data and Ste...

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International conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Xiangyin Ma Hongbin Zha State Key Laboratory of Machine Perception Peking University Beijing China

3D geometric models obtained by using laser scanners are often incomplete due to the equipment limitations. In this paper, we propose a novel hybrid reconstruction algorithm, which integrates stereo image pairs to overcome these limitations. This work focuses on a category of scenes that can be approximated by planes (such as manmade scenes). The scan data are first segmented into planar patches, many of which may be incomplete. Stereo image pairs are then incorporated to retrieve the missing data. Specifically, we decide each plane's extension in the image domain via segment-based stereo matching with disparity layers extracted from scan data. Then, points in the missing area are interpolated by calculating ray-plane intersections. All procedures are automatic except for the range to image registration. The validity of our approach is demonstrated by experiments on real data.

关键词： Layout image reconstruction Stereo image processing image segmentation Solid modeling Laser modes reconstruction algorithms Information retrieval image retrieval data mining

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Faithful recovery of vector valued functions from incomplete data recolorization and art restoration

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1st International conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007

作者： Fornasier, Massimo Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 United States

ISBN: (纸本)9783540728221

On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ovetari Chapel. In the last 60 years, several attempts have been made to restore the fresco fragments by traditional methods, but without much success. We have developed an efficient pattern recognition algorithm to map the original position and orientation of the fragments, based on comparisons with an old gray level image of the fresco prior to the damage. This innovative technique allowed for the partial reconstruction of the frescoes. Unfortunately, the surface covered by the fragments is only 77 m 2, while the original area was of several hundreds. This means that we can reconstruct only a fraction (less than 8%) of this inestimable artwork. In particular the original color of the blanks is not known. This begs the question of whether it is possible to estimate mathematically the original colors of the frescoes by making use of the potential information given by the available fragments and the gray level of the pictures taken before the damage. Can one estimate how faithful such restoration is? In this paper we retrace the development of the recovery of the frescoes as an inspiring and challenging real-life problem for the development of new mathematical methods. We introduce two models for the recovery of vector valued functions from incomplete data, with applications to the fresco recolorization problem. The models are based on the minimization of a functional which is formed by the discrepancy with respect to the data and additional regularization constraints. The latter refer to joint sparsity measures with respect to frame expansions for the first functional and functional total variation for the second. We establish the relations between these two models. As a byproduct we develop the basis of a theory of fidelity in color recovery, which is a crucial issue in art restoration and

关键词： Vectors

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image-based Model Completion

Image-based Model Completion

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International conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Alan Brunton Stefanie Wuhrer Chang Shu Visual Information Technology Group National Research Council Canada Ottawa Canada School of Computer Science Carleton University Canada

Geometric models created from range sensors are usually incomplete. Considerable effort has been made to fix this problem, ranging from manual repairing to geometric interpolation. We propose using multi-view stereo to complete such models. Our approach is practical and convenient because when scanning and object or environment one usually takes photographs to texture the resulting model. By using the incomplete scan data as a boundary condition, we use a variational multi-view approach to estimate the missing data.

关键词： Geometry image reconstruction Solid modeling Surface reconstruction Filling Digital images Stereo image processing Surface fitting image sensors Interpolation

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Comparative evaluation of two analytical methods for Helical Cone-Beam Tomography

Comparative evaluation of two analytical methods for Helical...

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2007 IEEE Nuclear Science Symposium conference, vol.11

作者： Harald Schondube Karl Stierstorfer Frank Dennerlein Frederic Noo Siemens Medical Solutions Inc. Forchheim Germany Department of Radiology University of Utah Salt Lake USA

We present some extensions to the recently published "DBP-0" method which are important for making the algorithm more suitable for clinical routine. These extensions are (i) an incorporation of the slice thickness into the reconstruction process, (ii) a way of reconstructing a region of interest smaller than the FOV, (iii) the possibility to reconstruct from flying focal spot data and (iv) a frequency apodization scheme for influencing the resolution vs. noise level during reconstruction. We furthermore present an evaluation of the DBP-0 method against the approximate Weighted FBP (WFBP) algorithm in terms of resolution, noise and subjective appearance of reconstructed images.

关键词： image reconstruction Computed tomography Geometry image resolution Frequency Noise level data acquisition Detectors Biomedical imaging Nuclear and plasma sciences

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Meshing Non-uniformly Sampled and incomplete data Based on Displaced T-spline Level Sets

Meshing Non-uniformly Sampled and Incomplete Data Based on D...

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International conference on Shape Modeling and Applications

作者： Huaiping Yang Bert Juttler Johannes Kepler University Linz Austria

We propose a new method for constructing a piecewise smooth mesh from a set of unorganized data points, which may be non-uniformly sampled, noisy, and even containing holes. The method is based on the construction of an implicit representation of the surface, by using smooth (C 2 in our case) T-spline scalar functions. We first generate the T- spline control grid, and use an evolution process such that the resulting T-spline level sets capture the topology and outline of the object to be reconstructed. The initial mesh with high quality is obtained from the implicit T-spline function through the marching triangulation method. Then we project each data point to the initial mesh, and get a scalar displacement field. Detailed features will be captured by the displaced mesh. We also propose an additional evolution process, which combines data-driven velocities and feature- preserving bilateral filters, in order to reproduce sharp features.

关键词： Level set Surface reconstruction image reconstruction Topology Spline Surface cracks Clouds Scattering Computer vision Shape

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Improved image reconstruction from multiple frames

Improved image reconstruction from multiple frames

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conference on image reconstruction from incomplete data IV

作者： Testorf, Markus E. Fiddy, Michael Dartmouth Coll Thayer Sch Engn 8000 Cummings Hall Hanover NH 03755 USA Univ N Carolina Ctr Optoelect & Opt Commun Charlotte NC USA

ISBN: (纸本)0819463957

A method is described for reconstructing images from incomplete data sets if subsets of the data are obtained with different data acquisition systems. The proposed method is able to incorporate prior information about the object into the reconstruction process. The general scheme is applied to construct improved images from multiple low resolution frames of the same scene, where each frame is obtained with an imaging system characterized by a different response function. The working principle is demonstrated with synthetic data for a set of generic imaging systems. Additional attention is given to the potential of the inherent superresolution capabilities of this method in the context of compressed image representations.

关键词： computational imaging resolution enhancement image reconstruction multiple image frames

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Three-dimensional image reconstruction in variable density acoustic tomography

Three-dimensional image reconstruction in variable density a...

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conference on image reconstruction from incomplete data IV

作者： Anastasio, Mark A. Shi, Daxin IIT Dept Biomed Engn Chicago IL 60616 USA

ISBN: (纸本)0819463957

Diffraction tomography (DT) is an established imaging technique for use with diffracting wavefields, which represents a generalized form of x-ray tomography. In this work, we revisit the three-dimensional reconstruction problem of DT for variable density acoustic media. Novel reconstruction algorithms are developed for reconstructing separate images that depict a weakly scattering object's compressibility and density variations. If tomographic measurement data are acquired at four distinct temporal frequencies, we demonstrate that the effects of object dispersion can be accounted for completely by use of analytic reconstruction formulas. Computer-simulation studies are conducted to demonstrate the developed image reconstruction methods.

关键词： ultrasound tomography acoustic dispersion diffraction tomography image reconstruction

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Restoration of nonuniformly warped images using accurate frame by frame shiftmap accumulation

Restoration of nonuniformly warped images using accurate fra...

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conference on image reconstruction from incomplete data IV

作者： Tahtali, Murat Lambert, Andrew J. Fraser, Don UNSW Sch Aerosp Civil & Mech Eng ADFA Canberra ACT Australia UNSW Sch Informat Technol & Elect Engn ADFA Canberra ACT Australia

ISBN: (纸本)0819463957

When imaging through the atmosphere, the resulting image contains not only the desired scene, but also the adverse effects of all the turbulent air mass between the camera and the scene. These effects are viewed as a combination of non-uniform blurring and random shifting of each point in the received short-exposure image. Corrections for both aspects of this combined distortion have been tackled reasonably successfully by previous efforts. A potentially more robust method of restoring the geometry is presented, which is also better suited to real-time implementation. The improvements were achieved by replacing the concept of prototype frame with the sequential registration of each frame with its nearest neighbour and the accurate accumulation of shiftmaps from any one frame to another without redundant calculations.

关键词： adaptive optics image registration image restoration

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Analysis and modelling of substitution disorder in the myosin lattice of vertebrate muscle

Analysis and modelling of substitution disorder in the myosi...

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conference on image reconstruction from incomplete data IV

作者： Millane, R. P. Yoon, C. H. Blakeley, N. D. Goyal, A. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Private Bag 4800 Christchurch 1 New Zealand

ISBN: (纸本)0819463957

Myosin filaments are important components of striated muscle and pack in a semi-ordered, two-dimensional array. The array can be imaged by electron microscopy of thin cross-sections which indicates, for many species, that the filaments adopt two orientations that are distributed with short-ranging order. We describe analysis and modelling of this substitution disorder based on the micrographs and an Ising model.

关键词： image analysis electron micrograph lattice disorder myosin muscle Ising model

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Compressed sensing image reconstruction via recursive spatially adaptive filtering

Compressed sensing image reconstruction via recursive spatia...

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14th IEEE International conference on image Processing, ICIP 2007

作者： Egiazarian, Karen Foi, Alessandro Katkovnik, Vladimir Institute of Signal Processing Tampere University of Technology P.O. Box 553 33101 Tampere Finland

ISBN: (纸本)1424414377

We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coefficients of an arbitrary linear transform. This reconstruction problem is the subject of intensive study in the recent field of "compressed sensing" (also known as "compressive sampling"). Our approach is based on a quite specific recursive filtering procedure. At every iteration the algorithm is excited by injection of random noise in the unobserved portion of the spectrum and a spatially adaptive image denoising filter, working in the image domain, is exploited to attenuate the noise and reveal new features and details out of the incomplete and degraded observations. This recursive algorithm can be interpreted as a special type of the Robbins-Monro stochastic approximation procedure with regularization enabled by a spatially adaptive filter. Overall, we replace the conventional parametric modeling used in CS by a nonparametric one. We illustrate the effectiveness of the proposed approach for two important inverse problems from computerized tomography: Radon inversion from sparse projections and limited-angle tomography. In particular we show that the algorithm allows to achieve exact reconstruction of synthetic phantom data even from a very small number projections. The accuracy of oui- reconstruction is in line with die best results in the compressed sensing field. © 2007 IEEE.

关键词： Compressed sensing

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