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The Evaluation of Coke Strength before/after Solution Loss Reaction for an Actual Coke image Using image based modeling

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TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN 2009年第8期95卷 593-599页

作者： Hayashizaki, Hideyuki Ueoka, Kenta Kajiyama, Masashi Yamazaki, Yoshiaki Hiraki, Kenichi Matsushita, Yohsuke Aoki, Hideyuki Miura, Takatoshi Fukuda, Koichi Matsudaira, Kanji Tohoku Univ Grad Sch Engn Aoba Ku Sendai Miyagi 9808579 Japan Nippon Steel Corp Ltd Environm & Proc Technol Ctr Tokyo Japan

In this study, coke strength for an actual microscopic structures before/after solution loss reaction is numerically evaluated using image based modeling. Stress analyses for microscopic structures of coke before/after solution loss reaction at 1173 K are carried Out. In the analyses, microscopic structure of coke is assumed to be composed of active components and pores. Analytical results show that the maximum von Mises stress sharply increases with an increase in conversion for solution loss reaction. It is caused by decrease in both pore wall thickness and a reduction in the connection of coke texture by solution loss reaction. The stress distribution closely relates to change of microscopic structures by solution loss reaction.

关键词： coke coke strength image based modeling microscopic structure solution loss reaction

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image-based modeling of coupled electro-chemo-mechanical behavior of Li-ion battery cathode using an interface-modified reproducing kernel particle method

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ENGINEERING WITH COMPUTERS 2024年 1-32页

作者： Susuki, Kristen Allen, Jeffery Chen, Jiun-Shyan Univ Calif San Diego Dept Struct Engn La Jolla CA 92093 USA Natl Renewable Energy Lab Computat Sci Ctr Golden CO USA

An interface-modified reproducing kernel particle method (IM-RKPM) is introduced in this work to allow for a direct model construction from image pixels of heterogeneous polycrystalline Li-ion battery microstructures. The interface-modified reproducing kernel (IM-RK) approximation is constructed through scaling of a kernel function by a regularized distance function in conjunction with strategic placement of interface node locations. This leads to RK shape functions with either weak or strong discontinuities across material interfaces, suitable for modeling various interface mechanics. With the placement of a triple junction node and distance-based scaling of kernel functions, the resulting IM-RK shape function also possesses proper discontinuities at the triple junctions. This IM-RK approximation effectively remedies the well-known Gibb's oscillation in the smooth approximation of discontinuities. Different from the conventional meshfree approaches for interface discontinuities, this IM-RK approach is done without additional degrees of freedom associated with the enrichment functions, and it is formulated with the standard procedures in the RK shape function construction. This work focuses on identifying the accuracy and convergence properties of IM-RKPM for modeling the coupled electro-chemo-mechanical system. A linear patch test is formulated and numerically tested for the electro-chemo-mechanical coupled problem with a Butler-Volmer boundary condition representing the physical conditions in Li-ion battery microstructures. This is followed by verification of the optimal rates of convergence of IM-RKPM for solving the coupled problem with higher order solutions. The image-based modeling of Li-ion battery microstructures in the numerical examples demonstrates the applicability of the proposed method to realistic Li-ion battery materials modeling.

关键词： Reproducing kernel particle method image based modeling Electro-chemo-mechanical coupling Interface-modified reproducing kernel approximation Li-ion battery

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image-based modeling of inhomogeneous single-scattering participating media

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Science China(Information Sciences) 2010年第6期53卷 1141-1150页

作者： HU Yong 1 , QI Yue 1 & TONG Xin 2 1 State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China 2 Microsoft Research Asia, Beijing 100080, China 1. State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China2. Microsoft Research Asia Beijing 100080 China

We propose a method to reconstruct inhomogeneous single-scattering participating media, which could preserve fine high-frequency details of density *** data and the ratio of absorption coefficient to scattering coefficient are used to describe the spatial-varying density distribution and optical properties of certain participating media, and a function between the above parameters and captured pixel values is *** the problem of how to find solutions to these parameters is formulated into a nonlinear numerical optimization *** order to reduce large time overheads and numerical instability brought by simultaneously solving large numbers of voxels, we propose an initialization algorithm for enabling the assigned density values to satisfy the regularity of brightness distribution in captured images approximately as well as a progressive refinement algorithm for multi-resolution volumetric ***, we propose a parallel multi-voxel gradient computation algorithm of utilizing hardware acceleration to reduce time overheads in gradient computation for large numbers of *** results indicate that our method is well suited for reconstructing thin smoke, retaining high-frequency details from images captured from multiple viewpoints.

关键词： single-scattering participating media smoke modeling volumetric modeling image based modeling

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image-based modeling for Virtual Museum

Image-Based Modeling for Virtual Museum

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International Conference on Multimedia, Computer Graphics and Broadcasting (MulGraB 2011)

作者： Kim, Jin-Mo Shin, Do-Kyung Ahn, Eun-Young Hanbat Natl Univ Dept Commun Informat & Comp Engn Deajeon City South Korea Dongguk Univ Dept Multimedia Seoul South Korea Hanyang Univ Dept Comp Engn Ansan South Korea

ISBN: (纸本)9783642272035

This method focuses on the making a vivid virtual museum in a proper time for the number of complicated artifacts. And another purpose is minimizing undesirable distortions in the process of the modeling and finally. gaining realistic visual effects. In this paper, we present a new method for constructing 3D VR contents by using Smart Billboard, namely for selecting a proper mapping image among the images captured by rotating camera position at regular intervals. Moreover, we describe a simplified calculation method for selecting an adequate image to the viewer. The proposed method is applicable to the industry like as e-commerce, e-learning on the web site and simulations for saving your efforts and resources to make 3D VR contents. And it is validated with the practical embodiments of a virtual museum in which the exhibitions are represented by Smart Billboard that automatically calculates and selects a proper image according to the view change in a cyber space.

关键词： Texture mapping Billboard Mixed reality image based modeling

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Correlation-constrained approach to partial image-based modeling

Correlation-constrained approach to partial image-based mode...

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Conference on Vision Geometry X

作者： Agam, G IIT Dept Comp Sci Chicago IL 60616 USA

ISBN: (纸本)0819441902

Computer models of real world objects and scenes are essential in a large and rapidly growing number of applications, hence motivating the automatic generation of models from images. While the completeness and accuracy of extracted models may be essential in some cases. in applications such as image-based view synthesis in which the goal is to produce new views of a scene. partial models with limited accuracy may produce satisfactory results. In this paper a method is described for partial image based-modeling which relies on a sparse set of matching points between several views. While a sparse set of matching points may be obtained more reliably, it provides only partial information on the reconstructed scene and uses only a small subset of the information contained in the images. Consequently in the proposed approach, correlation constraints are used in order to test hypotheses in projective space so as to improve the correctness of the reconstructed model. The correlation constraints are based on all the image pixels belonging to the convex hull of the matched point set, thus utilizing a large amount of the information contained in the images. The same constraints are then used to modify the reconstructed model by detecting zones in which the model should be broken into several parts in order to accommodate occlusions in the scene and in order to smooth planar surfaces composed of several polygons. The paper provides demonstration of the application of the proposed approach to image-based view synthesis and geometric distortion correction in document images.

关键词： image based modeling image based rendering view synthesis joint triangulation model reconstruction computer vision computer graphics

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Efficient workflows for 3D building full-color model reconstruction using LIDAR long-range laser and image-based modeling techniques

Efficient workflows for 3D building full-color model reconst...

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Conference on Vision Geometry XIII

作者： Shih, C Mingdao Univ Dept Informat Engn Changhua Taiwan

ISBN: (纸本)0819456489

Two efficient workflow are developed for the reconstruction of a 3D full color building model. One uses a point wise sensing device to sample an unknown object densely and attach color textures from a digital camera separately. The other uses an image based approach to reconstruct the model with color texture automatically attached. The point wise sensing device reconstructs the CAD model using a modified best view algorithm that collects the maximum number of construction faces in one view. The partial views of the point clouds data are then glued together using a common face between two consecutive views. Typical overlapping mesh removal and coarsening procedures are adapted to generate a unified 3D mesh shell stricture. A post processing step is then taken to combine the digital image content from a separate camera with the 3D mesh shell surfaces. An indirect uv mapping procedure first divide the model faces into groups within which every face share the same normal direction. The corresponding images of these faces in a group is then adjusted using the uv map as a guidance. The final assembled image is then glued back to the 3D mesh to present a full colored building model. The result is a virtual building that can reflect the true dimension and surface material conditions of a real world campus building. The image based modeling procedure uses a commercial photogrammetry package to reconstruct the 3D model. A novel view planning algorithm is developed to guide the photos taking procedure. This algorithm successfully generate a minimum set of view angles. The set of pictures taken at these view angles can guarantee that each model face shows up at least in two of the pictures set and no more than three. The 3D model can then be reconstructed with minimum amount of labor spent in correlating picture pairs. The finished model is compared with the original object in both the topological and dimensional aspects. All the test cases show exact same topology and reasona

关键词： time of fly laser LIDAR mesh simplification texture mapping image fitting photogrammetry image based modeling view planning topology matching

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Spatially-Varying Diffuse Reflectance Capture Using Irradiance Map Rendering for image-based modeling Applications 18

Spatially-Varying Diffuse Reflectance Capture Using Irradian...

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18th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ladefoged, Kasper S. Madsen, Claus B. Aalborg Univ Dept Architecture Design & Media Technol Aalborg Denmark

ISBN: (纸本)9781728109879

image-based 3D modelling using Structure-form-Motion (SfM) has matured significantly over the last decade. Standard SfM methods create the object's texture from the appearance of the physical object at the time of acquisition. We propose a method for acquiring the diffuse per-point reflectance of the modelled object, as part of the image acquisition work flow, only adding one extra captured image and an irradiance rendering step, making it easy for anyone to digitize physical objects to create 3D content for AR/VR using only consumer grade hardware. Current state of the art of spatially varying reflectance capture requires either large, expensive, and purpose built setups or are optimization based approaches, whereas the proposed approach is model based. This paper proposes adding a render of irradiance with modelled camera and light source, using off the shelf hardware for image capture. The key element is taking two images at each imaging location: one with just the ambient illumination conditions, and one where the light from an on-camera flash is included. It is demonstrated how to get the ambient illumination to cancel out, and by assuming Lambertian materials, render the irradiance corresponding to the flash-only image, enabling computation of spatially varying diffuse reflectance rather than appearance. Qualitative results demonstrate the added realism of the modelled objects when used as assets in renders under varying illumination conditions, including limited outdoor scenarios. Quantitative tests demonstrate that the reflectance can be estimated correctly to within a few percent even in cases with severe un-even ambient illumination.

关键词： Albedo generation Diffuse albedo Diffuse Reflectance image based 3D modelling image based modeling Irradiance map Rendering Reflectance SfM Spatially Varying

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Building user interactive capabilities for image-based modeling of patient-specific biological flows in single platform

Building user interactive capabilities for image-based model...

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作者： Liza Shrestha University of Iowa

学位级别：博士

In this work, we have developed user interactive capabilities that allow us to perform segmentation and manipulation of patient-specific geometries required for Computational Fluid Dynamics (CFD) studies, entirely in image domain and within a single platform of 'IAFEMesh'. Within this toolkit we have added commonly required manipulation capabilities for performing CFD on segmented objects by utilizing libraries like ITK, VTK and KWWidgets. With the advent of these capabilities we can now manipulate a single patient specific image into a set of possible cases we seek to study; which is difficult to do in commercially available software like VMTK, Slicer, MITK etc. due to their limited manipulation capabilities. Levelset representation of the manipulated geometries can be simulated in our flow solver (SCIMITAR-3D) without creating any surface or volumetric mesh. This image-levelset-flow framework offers few advantages. 1) We don't need to deal with the problems associated with mesh quality, edge connectivity related to mesh models, 2) and manipulations like boolean operation result in smooth, physically realizable entities which is challanging in mesh domain. We have validated our image-levelset-flow setup with the known results from previous studies. We have modified the algorithm by Krissian et al. and implemented it for the segmentation of Type-A aortic dissection. Finally, we implemented these capabilities to study the hemodynamics in Type-A aortic dissection. Our image based framework is a first of its kind and the hemodynamic study of Type-A dissection too is first study onto the best of our knowledge.

关键词： Aortic dissection CFD image based modeling segmentation wall shear stress

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Monitoring and Measurement of an Artificial Landslide Dam Using UAV images and image-based modeling

Monitoring and Measurement of an Artificial Landslide Dam Us...

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2016 International Conference on Mathematical, Computational and Statistical Sciences and Engineering（MCSSE 2016）

作者： Ming-Der YANG Kai-Siang HUANG Hui-Ping TSAI Department of Civil Engineering Chung Hsing University

Because of heavy rains or earthquakes, landslide and debris flows may flow into rivers and block river channel so to become a landslide dam. Due to the relatively loose nature and the absence of proper engineering spillway, landslide dams are often vulnerable to catastrophic failure by overtopping and breaching, and cause severe flooding in downstream area possibly with serious casualties, such as life loss and property damage. Therefore, the technology development of time-effective monitoring landslide dams becomes an important issue in disaster mitigation. However, the monitoring and assessment of landslide is often difficult due to the timeliness and effectiveness over an unreachable location. Since the timing of dam failure and the magnitude of the resulting flooding downstream are highly affected by the landslide dam size and geometry, the three-dimensional measurement of landslide dam is an essential task in the mitigation act following the occurrence of a landslide lake. Taking responsiveness and efficiency into consideration, this research proposed a process for the monitoring and assessment of landslide dam by employing unmanned aerial vehicles(UAVs) for aerial surveying and image based modeling(IBM) for aerial surveying and a 3D model reconstruction of an artificial landslide dam built in a real Landou stream within Hui-Sun experimental forest in Nantou, Taiwan, as a full-scale on-site experiment. The result shows that a 3D terrain model can be successfully constructed based on the UAV images through IBM process. Especially, the volume and stability of landslide dam is the most urgent information needed to be acquired for mitigation strategy making so that the failure of landslide dams due to dam breach and erosion by the overflow stream can be predicted and prepared.

关键词： Landslide lake Landslide dam UAV image based modeling

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Interactive System For image based 3D modeling And Rendering From Single View Perspective images

Interactive System For Image Based 3D Modeling And Rendering...

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IEEE International Advance Computing Conference

作者： Mohan, S. Murali, S. Infosys Technol Ltd E&R Dept Mysore Karnataka India PET Res Ctr Mandya Karnataka India

ISBN: (纸本)9781424429271

Most of the image based modeling and Rendering works found in the literature rely on the input supplied by the user and hence it becomes necessary to optimize the user interaction while building the 3D model We present an interactive system for image based 3D model building from single view uncalibrated images based on Depth-Cueing [8] which constructs approximate wireframe from the user specified depth information. The depth information is interpreted by drawing a gray shaded tine whose intensity is highest at the vertices closer to viewing point and decreases towards the vertices farther. On the rendering part, the perspective distortion is rectified on each surface based on projective transformation by exploiting the presence of symmetric objects (like circle, square, etc) in the images to get the fronto-parallel view. Our study shows that the symmetric objects like circle get deformed to an ellipse due to perspective distortion and projective transformation. We demonstrated the significance of symmetric objects in a scene/image to rectify the perspective distortion. The rectified surfaces are used to retrieve the actual 3D coordinates of the wireframe and also used as texture maps during rendering to get the photo realistic results. We have used images containing planar surfaces. The user interaction during wireframe building needs no idea about the scene and camera parameters. The results are significant and convincing.

关键词： 3D modeling image based modeling Perspective Rectification image based Rendering Texture mapping

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