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"title": "Application Research on Cubic Spline Interpolation Based on Particle Swarm Optimization in Mine Pressure Missing Data",
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"abstract": "To interpolate mine pressure missing data, it is proposed that cubic spline interpolation algorithm based particle swarm optimization. The algorithm use particle swarm optimization to solve the coefficients of cubic spline interpolation function, in order to reduce the tedious of solving the coefficients of cubic spline interpolation. By the analysis of the interpolation of mine pressure missing data in different working face in same place, and difference working face in difference place, the interpolated results and the actual values are close, therefore, it is effective that cubic spline interpolation algorithm based on particle swarm optimization for the interpolation of mine pressure missing data.",
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"content": "To interpolate mine pressure missing data, it is proposed that cubic spline interpolation algorithm based particle swarm optimization. The algorithm use particle swarm optimization to solve the coefficients of cubic spline interpolation function, in order to reduce the tedious of solving the coefficients of cubic spline interpolation. By the analysis of the interpolation of mine pressure missing data in different working face in same place, and difference working face in difference place, the interpolated results and the actual values are close, therefore, it is effective that cubic spline interpolation algorithm based on particle swarm optimization for the interpolation of mine pressure missing data.",
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"title": "Four-Order Interpolation Algorithms for Charge Conservation in Particle-in-Cell Method",
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"abstract": "High-order algorithms of Particle-in-cell (PIC) method can reduce the numerical noises, increase the sizes of space grids, and reduce the CPU time. Four-order interpolation algorithms for charge conservation in PIC simulations are presented. The methods may be used for the case that a particle trajectory is a zigzag line.",
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"content": "High-order algorithms of Particle-in-cell (PIC) method can reduce the numerical noises, increase the sizes of space grids, and reduce the CPU time. Four-order interpolation algorithms for charge conservation in PIC simulations are presented. The methods may be used for the case that a particle trajectory is a zigzag line.",
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"abstract": "With the prevalence of location-aware devices and applications, enormous volumes of human spatiotemporal trajectories are being produced. It is feasible to estimate the similarity between user movement patterns according to such trajectories, which can be regarded as a potential social tie between users. There are two key research challenges associated with social tie discovery from trajectories: (1) trajectories contain users' accurate locations and releasing such data for social tie discovery raises serious privacy concerns; (2) trajectories are archived as discrete approximations of actual movement patterns using different sampling strategies and rates which are intrinsically heterogeneous. To address these challenges, this paper proposes a Privacy-protected Social Tie Mining (P-STM) approach. It provides a new social tie discovery solution based on the similarity of calibrated trajectories incorporating three key components: (1) a location entropy-based indicative dense region (IDR) mining approach to handle the heterogeneity of trajectories under differential privacy; (2) a private model-based calibration system used to rewrite trajectories using a sanitized IDR set to improve the utility of sanitized trajectories for similarity evaluation; (3) a social tie mining approach to indicate potential social ties between individuals using the similarity trajectories, which aims at finding the acquaintances for users based on solely their local geographical activities. The proposed approach is evaluated using real-world trajectory datasets from location-based social networks.",
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"abstract": "Recently, animations with deforming objects are frequently used in various computer graphics applications. Metamorphosis (or morphing) of three dimensional objects can realize a shape transformation between two or more existing objects. We present a new algorithm for 3D geometric metamorphosis between two objects based on the harmonic map. Our algorithm is applicable for arbitrary polyhedra that are homeomorphic to the three dimensional sphere or the two dimensional disk. In our algorithm, each of the two 3D objects is first embedded to the circular disk on the plane. This embedded model has the same graph structure as its 3D objects. By overlapping those two embedded models, we can establish a correspondence between the two objects. Using this correspondence, intermediate objects between two objects are easily generated. The user only specifies a boundary loop on an object and a vertex on that boundary which control the interpolation.",
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"abstract": "We introduce a novel method for three-dimensional metamorphosis between two polyhedral objects with different topologies. The 3D objects are presented as multiple 2D images and well-understood 2D morphing techniques are used to morph between their 2D representations. The resulting 2D morphs are used to reconstruct the intermediate 3D objects. The user controls the metamorphosis by matching features during the 2D morphing stage. Our method is simpler and more efficient than existing 3D morphing techniques which handle general topologies since the interaction and morphing is essentially done in 2-space.",
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"title": "High dynamic range infrared image compression and denoising",
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"abstract": "Detail enhancement and noise removal are major issues in high dynamic range (HDR) infrared image processing. The main focus is how to effectively compress the high dynamic range infrared image to display on the low dynamic range monitors, and in this compression process, both the image details can be enhanced and the noises can be removed. In this paper, we propose a new method to achieve high dynamic range infrared image compression. In the proposed framework, the Laplace differential and Histogram projection are respectively used to sharpen and compress the raw image. Because the image details and noises are enhanced, we design a denoising deep convolutional neural network (DnDCNN)to remove the noises of the image processed in the previous step. By training an additive white Gaussian noise (AWGN) model with different noise levels, our model is capable of processing Gaussian noise at unknown noise levels. Specifically, residual learning and skip connection strategy are utilized to speed up the training process as well as boost the denoising performance. Final extensive experiments demonstrate that our CNN model is very effective in removing such infrared image noise, and the output image has excellent visualization effect.",
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"content": "Detail enhancement and noise removal are major issues in high dynamic range (HDR) infrared image processing. The main focus is how to effectively compress the high dynamic range infrared image to display on the low dynamic range monitors, and in this compression process, both the image details can be enhanced and the noises can be removed. In this paper, we propose a new method to achieve high dynamic range infrared image compression. In the proposed framework, the Laplace differential and Histogram projection are respectively used to sharpen and compress the raw image. Because the image details and noises are enhanced, we design a denoising deep convolutional neural network (DnDCNN)to remove the noises of the image processed in the previous step. By training an additive white Gaussian noise (AWGN) model with different noise levels, our model is capable of processing Gaussian noise at unknown noise levels. Specifically, residual learning and skip connection strategy are utilized to speed up the training process as well as boost the denoising performance. Final extensive experiments demonstrate that our CNN model is very effective in removing such infrared image noise, and the output image has excellent visualization effect.",
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"abstract": "Based on spherical parameterization, we in this paper present an algorithm to naturally morph a mesh model to another. Our algorithm first adjusts poses of both the models to align them in 3D space. Then, the two normalized models are parameterized onto a common spherical parametrical domain. Subsequently, the algorithm matches a group of given features of the models on spherical domain via a re-parameterizing procedure. As a result, the correspondence of two models' vertices are obtained. Finally, our algorithm interpolates original coordinates of the source model to their corresponding coordinates on the target model to create morphing.",
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"abstract": "This paper presents solutions to the feature correspondence and feature interpolation problems in image morphing. The user specifies the correspondence between the source and the target images by drawing input curves on the features of the objects. The correspondence between these curves at the finest level (pixel level) is computed by optimizing a cost function. Based on this correspondence, the input curves are approximated by using B?zier curves. We represent the B?zier curves and the connections among them by using a “dependency graph”. Interpolating the dependency graphs using the edge-angle blending technique performs feature interpolation. We also propose methods for controlling the transition rates of the shape and the color. We implemented the proposed algorithms in our morphing system, which is based on the field morphing technique. From experimental results, our algorithms can generate a smooth morphing animation even when the objects in the source and the target images have different orientations. In addition, the user's workload is reduced because the system includes an automatic feature correspondence computation.",
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"content": "This paper presents solutions to the feature correspondence and feature interpolation problems in image morphing. The user specifies the correspondence between the source and the target images by drawing input curves on the features of the objects. The correspondence between these curves at the finest level (pixel level) is computed by optimizing a cost function. Based on this correspondence, the input curves are approximated by using B?zier curves. We represent the B?zier curves and the connections among them by using a “dependency graph”. Interpolating the dependency graphs using the edge-angle blending technique performs feature interpolation. We also propose methods for controlling the transition rates of the shape and the color. We implemented the proposed algorithms in our morphing system, which is based on the field morphing technique. From experimental results, our algorithms can generate a smooth morphing animation even when the objects in the source and the target images have different orientations. In addition, the user's workload is reduced because the system includes an automatic feature correspondence computation.",
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"affiliation": "University of Tokyo",
"fullName": "Henry Johan",
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"fullName": "Yuichi Koiso",
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"affiliation": "University of Tokyo",
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"title": "View Morphing Using Sprites with Depth",
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"abstract": "Abstract: Recently there has been a great deal of interest in morphing techniques to produce intermediary images between two images. These techniques combine 2D interpolations of shape and color to make realistic special effects. In this paper, we simulate view morphing, using sprites with depth about a pair of partially occluded images based on the epipolar geometry. The epipolar constraints improve the accuracy of the estimated disparity maps. To compute depth map between two images, we use a simple stereo system. Depth can be estimated from the disparity of corresponding points and is inversely proportional to disparity, used when sprites are composed. A sprite is an image with the standard three-color components (red, green, blue) and an additional channel that encodes the image's shape. In case of a pair of partially occluded images, whether there should be decomposed sprites to an image is the purpose of attributing to reduce two problems, folds and holes, in the view morphing procedures.",
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"content": "Abstract: Recently there has been a great deal of interest in morphing techniques to produce intermediary images between two images. These techniques combine 2D interpolations of shape and color to make realistic special effects. In this paper, we simulate view morphing, using sprites with depth about a pair of partially occluded images based on the epipolar geometry. The epipolar constraints improve the accuracy of the estimated disparity maps. To compute depth map between two images, we use a simple stereo system. Depth can be estimated from the disparity of corresponding points and is inversely proportional to disparity, used when sprites are composed. A sprite is an image with the standard three-color components (red, green, blue) and an additional channel that encodes the image's shape. In case of a pair of partially occluded images, whether there should be decomposed sprites to an image is the purpose of attributing to reduce two problems, folds and holes, in the view morphing procedures.",
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"fullName": "Youngsup Park",
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"affiliation": "Chung-Ang University",
"fullName": "Kyunghyun Yoon",
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"title": "Explicit Control of Topological Transitions in Morphing Shapes of 3D Meshes",
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"abstract": "Existing methods of morphing 3D meshes are often limited to cases in which 3D input meshes to be morphed are topologically equivalent. This paper presents a new method for morphing 3D meshes having different surface topological types. The most significant feature of the method is that it allows explicit control of topological transitions that occur during the morph. Transitions of topological types are specified by means of a compact formalism that resulted from a rigorous examination of singularities of 4D hypersurfaces and embeddings of meshes in 3D space. Using the formalism, every plausible path of topological transitions can be classified into a small set of cases. In order to guide a topological transition during the morph, our method employs a key-frame that binds two distinct surface topological types. The key-frame consists of a pair of \"faces\", each of which is homeomorphic to one of the source (input) 3D meshes. Interpolating the source meshes and the key-frame by using a tetrahedral 4D mesh and then intersecting the interpolating mesh with another 4D hypersurface creates a morphed 3D mesh. We demonstrate the power of our methodology by using several examples of topology transcending morphing.",
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"content": "Existing methods of morphing 3D meshes are often limited to cases in which 3D input meshes to be morphed are topologically equivalent. This paper presents a new method for morphing 3D meshes having different surface topological types. The most significant feature of the method is that it allows explicit control of topological transitions that occur during the morph. Transitions of topological types are specified by means of a compact formalism that resulted from a rigorous examination of singularities of 4D hypersurfaces and embeddings of meshes in 3D space. Using the formalism, every plausible path of topological transitions can be classified into a small set of cases. In order to guide a topological transition during the morph, our method employs a key-frame that binds two distinct surface topological types. The key-frame consists of a pair of \"faces\", each of which is homeomorphic to one of the source (input) 3D meshes. Interpolating the source meshes and the key-frame by using a tetrahedral 4D mesh and then intersecting the interpolating mesh with another 4D hypersurface creates a morphed 3D mesh. We demonstrate the power of our methodology by using several examples of topology transcending morphing.",
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"affiliation": "University of Tokyo",
"fullName": "Shigeo Takahashi",
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"fullName": "Ryutarou Ohbuchi",
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"doi": "10.1109/ICIAP.1999.797651",
"title": "Morphing as a Tool for Motion Modeling",
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"abstract": "This study merges the methodologies of computer graphics and image processing by using the morphing techniques in motion modeling problem. The proposed method morphs the final frame of a sequence of motion frames from the initial frame for modeling the motion of a smoothly changing video. First a set of control points are extracted in the initial and final frames of the motion sequence. For this purpose, the moving pixels are identified and clustered. The cluster centers of the moving pixels are labeled as control points. The number of control points and the motion detection thresholds are identified during the morphing by minimizing the sum of square error between the actual and generated image sequence. The control points are morphed for finding the trajectories of the motion. Then, the rest of the points are morphed by using the Gaussian distribution centered at each control points. The variance of each Gaussian distribution is estimated using the intermediate frames. The experimental results indicate very promising results.",
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"content": "This study merges the methodologies of computer graphics and image processing by using the morphing techniques in motion modeling problem. The proposed method morphs the final frame of a sequence of motion frames from the initial frame for modeling the motion of a smoothly changing video. First a set of control points are extracted in the initial and final frames of the motion sequence. For this purpose, the moving pixels are identified and clustered. The cluster centers of the moving pixels are labeled as control points. The number of control points and the motion detection thresholds are identified during the morphing by minimizing the sum of square error between the actual and generated image sequence. The control points are morphed for finding the trajectories of the motion. Then, the rest of the points are morphed by using the Gaussian distribution centered at each control points. The variance of each Gaussian distribution is estimated using the intermediate frames. The experimental results indicate very promising results.",
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"normalizedAbstract": "This study merges the methodologies of computer graphics and image processing by using the morphing techniques in motion modeling problem. The proposed method morphs the final frame of a sequence of motion frames from the initial frame for modeling the motion of a smoothly changing video. First a set of control points are extracted in the initial and final frames of the motion sequence. For this purpose, the moving pixels are identified and clustered. The cluster centers of the moving pixels are labeled as control points. The number of control points and the motion detection thresholds are identified during the morphing by minimizing the sum of square error between the actual and generated image sequence. The control points are morphed for finding the trajectories of the motion. Then, the rest of the points are morphed by using the Gaussian distribution centered at each control points. The variance of each Gaussian distribution is estimated using the intermediate frames. The experimental results indicate very promising results.",
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"surname": "Genç",
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"affiliation": "Middle East Technical University",
"fullName": "Fatos T. Yarman-Vural",
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"doi": "10.1109/SMA.2001.923392",
"title": "Local Control for Mesh Morphing",
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"abstract": "Mesh morphing techniques are capable of producing a sequence of meshes, gradually changing from a source to a target shape. However, current techniques do not allow to describe the local behavior of the morph. A solution to this problem is presented. The main idea is to describe mesh geometry in a differential way, thus, insertion of local features from one shape into another does not suffer from difference in absolute coordinates. Besides interesting possibilities for animation the technique proves to be a powerful modeling tool.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Mesh morphing techniques are capable of producing a sequence of meshes, gradually changing from a source to a target shape. However, current techniques do not allow to describe the local behavior of the morph. A solution to this problem is presented. The main idea is to describe mesh geometry in a differential way, thus, insertion of local features from one shape into another does not suffer from difference in absolute coordinates. Besides interesting possibilities for animation the technique proves to be a powerful modeling tool.",
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"normalizedAbstract": "Mesh morphing techniques are capable of producing a sequence of meshes, gradually changing from a source to a target shape. However, current techniques do not allow to describe the local behavior of the morph. A solution to this problem is presented. The main idea is to describe mesh geometry in a differential way, thus, insertion of local features from one shape into another does not suffer from difference in absolute coordinates. Besides interesting possibilities for animation the technique proves to be a powerful modeling tool.",
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"title": "Evolutionary Morphing",
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"abstract": "We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer models of anatomical shapes for some collection of specimens - here the skulls of the some of the extant members of a family of monkeys - an evolutionary tree for the group implies a hypothesis about the way in which the shape changed through time. We use a statistical model which expresses the value of some continuous variable at an internal point in the tree as a weighted average of the values at the leaves. The framework of geometric morphometrics can then be used to define a shape-space, based on the correspondences of landmark points on the surfaces, within which these weighted averages can be realized as actual surfaces. Our software provides tools for performing and visualizing such an analysis in three dimensions. Beginning with laser range scans of crania, we use our landmark editor to interactively place landmark points on the surface. We use these to compute a \"tree-morph\" that smoothly interpolates the shapes across the tree. Each intermediate shape in the morph is a linear combination of all of the input surfaces. We create a surface model for an intermediate shape by warping all the input meshes towards the correct shape and then blending them together. To do the blending, we compute a weighted average of their associated trivariate distance functions and then extract a surface from the resulting function. We implement this idea using the squared distance function, rather than the usual signed distance function, in a novel way.",
"abstracts": [
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"content": "We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer models of anatomical shapes for some collection of specimens - here the skulls of the some of the extant members of a family of monkeys - an evolutionary tree for the group implies a hypothesis about the way in which the shape changed through time. We use a statistical model which expresses the value of some continuous variable at an internal point in the tree as a weighted average of the values at the leaves. The framework of geometric morphometrics can then be used to define a shape-space, based on the correspondences of landmark points on the surfaces, within which these weighted averages can be realized as actual surfaces. Our software provides tools for performing and visualizing such an analysis in three dimensions. Beginning with laser range scans of crania, we use our landmark editor to interactively place landmark points on the surface. We use these to compute a \"tree-morph\" that smoothly interpolates the shapes across the tree. Each intermediate shape in the morph is a linear combination of all of the input surfaces. We create a surface model for an intermediate shape by warping all the input meshes towards the correct shape and then blending them together. To do the blending, we compute a weighted average of their associated trivariate distance functions and then extract a surface from the resulting function. We implement this idea using the squared distance function, rather than the usual signed distance function, in a novel way.",
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"normalizedAbstract": "We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer models of anatomical shapes for some collection of specimens - here the skulls of the some of the extant members of a family of monkeys - an evolutionary tree for the group implies a hypothesis about the way in which the shape changed through time. We use a statistical model which expresses the value of some continuous variable at an internal point in the tree as a weighted average of the values at the leaves. The framework of geometric morphometrics can then be used to define a shape-space, based on the correspondences of landmark points on the surfaces, within which these weighted averages can be realized as actual surfaces. Our software provides tools for performing and visualizing such an analysis in three dimensions. Beginning with laser range scans of crania, we use our landmark editor to interactively place landmark points on the surface. We use these to compute a \"tree-morph\" that smoothly interpolates the shapes across the tree. Each intermediate shape in the morph is a linear combination of all of the input surfaces. We create a surface model for an intermediate shape by warping all the input meshes towards the correct shape and then blending them together. To do the blending, we compute a weighted average of their associated trivariate distance functions and then extract a surface from the resulting function. We implement this idea using the squared distance function, rather than the usual signed distance function, in a novel way.",
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"fullName": "David F. Wiley",
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"affiliation": "University of California, Davis",
"fullName": "Deboshmita Ghosh",
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"affiliation": "University of California, Davis",
"fullName": "Yong J. Kil",
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"affiliation": "Lehman College of the City University of New York",
"fullName": "Eric Delson",
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"affiliation": "Lehman College of the City University of New York",
"fullName": "Will Harcourt-Smith",
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"affiliation": "Lehman College of the City University of New York",
"fullName": "Katherine St. John",
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"affiliation": "State University of New York, Stony Brook",
"fullName": "F. James Rohlf",
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"abstract": "Accurate global visibility information has become essential in global illumination rendering. Combinatorial structures such as the visibility complex, the aspect graphs, and the visibility skeleton, are the seeds of a new topic of research motivated by practical problems in computer graphics and global illumination rendering. This is now attracting interest from the computational geometry community, combinatorics, CAD and robotics. The initial motivation has been to accurately represent shadow boundaries generated by occluding surfaces in the path of light from emitting surfaces (sources) to receiving surfaces (receivers). This article adds to the rich body of research in this field by presenting solutions to the problem of occluders with curved boundaries. This has profound implications in three main areas: (1) the generation, maintenance and search functions associated with the global visibility complex, (2) mesh generation, and (3) global illumination rendering. We present a new visibility complex based on the proposed visibility skeleton. The new visibility complex has been designed to handle not only polygonal elements but also surfaces with curved boundaries. We have found that even in simple 3D scenes the new visibility complex generates fewer polygons in the meshing phase and a more accurate global illumination.",
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"content": "Accurate global visibility information has become essential in global illumination rendering. Combinatorial structures such as the visibility complex, the aspect graphs, and the visibility skeleton, are the seeds of a new topic of research motivated by practical problems in computer graphics and global illumination rendering. This is now attracting interest from the computational geometry community, combinatorics, CAD and robotics. The initial motivation has been to accurately represent shadow boundaries generated by occluding surfaces in the path of light from emitting surfaces (sources) to receiving surfaces (receivers). This article adds to the rich body of research in this field by presenting solutions to the problem of occluders with curved boundaries. This has profound implications in three main areas: (1) the generation, maintenance and search functions associated with the global visibility complex, (2) mesh generation, and (3) global illumination rendering. We present a new visibility complex based on the proposed visibility skeleton. The new visibility complex has been designed to handle not only polygonal elements but also surfaces with curved boundaries. We have found that even in simple 3D scenes the new visibility complex generates fewer polygons in the meshing phase and a more accurate global illumination.",
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"abstract": "In recent years, the subject of occlusion culling of large 3D environments has received substantial contribution. However the major amount of research into the area has focussed on occlusion culling of static scenes using spatial partitioning. The primary aim of all these schemes is to minimize the load on the GPU by reducing the number of primitives to be rendered. We present an efficient algorithm for visibility culling that supports static and dynamic scenes with equal ease with significant performance improvements over existing schemes. For a given camera position the status of the object nodesin an object hierarchy can be seen as a Visibility cut, the nodes of which are either outside the view frustum, or hidden or visible. We propose an efficient update scheme of this Visibility Cut while processing each frame, taking full advantage of the object hierarchy with spatial and temporal coherency. The whole scene walk through is modelledas a discrete event simulation where every change generates an event scheduled for that particular frame. For occlusion culling, we employ occlusion queries which helps the system to be output sensitive. The system supports transparency of entities without a major performance hit. We propose a scheme to select the level of detail of an object based on the results of occlusion queries.",
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"abstract": "We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core rendering. We represent the model as a clustered hierarchy of progressive meshes (CHPM). We use the cluster hierarchy for coarse-grained selective refinement and progressive meshes for fine-grained local refinement. We present an out-of-core algorithm for computation of a CHPM that includes cluster decomposition, hierarchy generation, and simplification. We make use of novel cluster dependencies in the preprocess to generate crack-free, drastic simplifications at runtime. The clusters are used for occlusion culling and out-of-core rendering. We add a frame of latency to the rendering pipeline to fetch newly visible clusters from the disk and to avoid stalls. The CHPM reduces the refinement cost for view-dependent rendering by more than an order of magnitude as compared to a vertex hierarchy. We have implemented our algorithm on a desktop PC. We can render massive CAD, isosurface, and scanned models, consisting of tens or a few hundreds of millions of triangles at 10-35 frames per second with little loss in image quality.",
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"abstract": "We present a new visibility-based prefetching algorithm for interactive out-of-core rendering of large models on an inexpensive PC. Using an approximate visibility technique, we can very accurately and efficiently determine which geometry will be visible in the near future and prefetch that geometry from disk before it must be rendered. Our prefetching algorithm is a key part of a visualization system capable of rendering a 13-million triangle model with 99% accuracy at interactive frame rates. Our prefetching algorithm is the first of its kind to be based on a from-point visibility technique, and enables interactive rendering on a commodity PC, as opposed to expensive high-end graphics workstations or parallel machines.",
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"content": "We present a new visibility-based prefetching algorithm for interactive out-of-core rendering of large models on an inexpensive PC. Using an approximate visibility technique, we can very accurately and efficiently determine which geometry will be visible in the near future and prefetch that geometry from disk before it must be rendered. Our prefetching algorithm is a key part of a visualization system capable of rendering a 13-million triangle model with 99% accuracy at interactive frame rates. Our prefetching algorithm is the first of its kind to be based on a from-point visibility technique, and enables interactive rendering on a commodity PC, as opposed to expensive high-end graphics workstations or parallel machines.",
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"affiliation": "Princeton University",
"fullName": "Wagner T. Corr?",
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"affiliation": "IBM Research",
"fullName": "James T. Klosowski",
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"affiliation": "University of Utah",
"fullName": "Cl?udio T. Silva",
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"abstract": "In augmented virtuality, estimating object surface reflectance properties is important when rendering objects under arbitrary illumination conditions. However, faithfully estimating surface reflectance properties is difficult for objects having interreflections. The present paper describes a new method for densely estimating the non-uniform surface reflectance properties of real objects constructed of convex and concave surfaces having diffuse and specular interreflections. The registered range and surface color texture images were obtained using a laser rangefinder. In the proposed method, the light positions are first determined in order to take color images, which are then used to discriminate diffuse and specular reflection components of surface reflection. Surface reflectance parameters are then estimated based on an inverse global illumination rendering. Experiments were conducted to reveal the usefulness of the proposed method.",
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"abstract": "Spot noise is a technique for texture synthesis, which is very useful for vector field visualization. This paper describes improvements and extensions of the basic principle of spot noise. First, better visualization of highly curved vector fields with spot noise is achieved, by adapting the shape of the spots to the local velocity field. Second, filtering of spots is proposed to eliminate undesired low frequency components from the spot noise texture. Third, methods are described to utilize graphics hardware to generate the texture, and to produce variable viewpoint animations of spot noise on surfaces. And fourth, the synthesis of spot noise on grids with highly irregular cell sizes is described.",
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