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Neural mesh ensembles

Neural mesh ensembles

引用

international symposium on 3d data processing visualization and transmission

作者： I. Ivrissimtzis Yunjin Lee Seungyong Lee W.-K. Jeong H.-P. Seidel MPI Informatik Germany POSTECH and MPI Informatik South Korea University of Utah USA

This work proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerful statistical technique based on the idea of averaging several outputs of a probabilistic algorithm. In the context of surface reconstruction, two main problems arise. The first is finding an efficient way to average meshes with different connectivity, and the second is tuning the parameters for surface reconstruction to maximize the performance of the ensemble. We solve the first problem by voxelizing all the meshes on the same regular grid and taking majority vote on each voxel. We tune the parameters experimentally, borrowing ideas from weak learning methods.

关键词： Surface reconstruction Neural networks Surface fitting Reconstruction algorithms Shape data visualization Laser tuning Convergence Voting Learning systems

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Robust 3d segmentation for underwater acoustic images

Robust 3D segmentation for underwater acoustic images

引用

international symposium on 3d data processing visualization and transmission

作者： L. Tao U. Castellani V. Murino Computer Science Department Tsinghua University Beijing China Dipartimento di Informatica University of Verona Verona Italy

A technique for 3d acoustic image segmentation and modelling is proposed. Especially, in the underwater environment, in which optical sensors suffer from visibility problems, the acoustical devices may provide efficient solutions, but, on the other hand, acoustic image interpretation is surely more difficult for a human operator. The proposed application involves the use of an acoustic camera which directly acquires images structured as a set of 3d points. due to the noisy nature of this type of data, the segmentation problem becomes more challenging and the standard algorithms for range image segmentation are likely to fail. The proposed method is based on a simplified version of the so called recover and select paradigm in which the seed areas, from which the segmentation starts, are generated by adopting a robust approach based on the RANSAC (Random Sample And Consensus) algorithm. Superquadric primitives are directly recovered from raw data without any pre-segmentation processing. Experimental trials using both synthetic and real acoustical images confirm the goodness of the method, and a large robustness of the resulting segmented images, associated to a relatively low computational load.

关键词： Robustness Image segmentation Underwater acoustics Acoustic noise Solid modeling Acoustic devices Sea surface Surface fitting Optical sensors data mining

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RoboScan: an automatic system for accurate and unattended 3d scanning

RoboScan: an automatic system for accurate and unattended 3D...

引用

international symposium on 3d data processing visualization and transmission

作者： M. Callieri A. Fasano G. Impoco P. Cignoni R. Scopigno G. Parrini G. Biagini ISTI-CNR Italy Scienzia Machinale

We describe an automatic system for fast unattended acquisition of accurate and complete 3d models, called RoboScan. The design goal is to reduce the three main bottlenecks in human-assisted 3d scanning: the selection of the range maps to be taken (view planning), the positioning of the scanner in the environment, and the range maps' alignment. The system is designed around a commercial laser-based 3d scanner moved by a robotic arm. The acquisition session is organised in two stages. First, an initial sampling of the surface is performed by the automatic selection of a set of views. Then, some added views are automatically selected, acquired and merged to the initial set in order to fill the surface regions left unsampled. Both the initial set of range maps and the subsequently added ones are post-processed automatically, by using the known scanner positions to initialise the alignment phase. Results of the assessment of the system on real acquisitions are presented and discussed.

关键词： Robotics and automation Sampling methods Hardware Orbital robotics Optical design Laser modes Image reconstruction Algorithm design and analysis Cultural differences Shape

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3d shape registration using regularized medial scaffolds

3D shape registration using regularized medial scaffolds

引用

international symposium on 3d data processing visualization and transmission

作者： M.-C. Chang F.F. Leymarie B.B. Kimia LEMS Division of Engineering Brown University Providence RI USA

This work proposes a method for global registration based on matching 3d medial structures of unorganized point clouds or triangulated meshes. Most practical known methods are based on the iterative closest point (ICP) algorithm, which requires an initial alignment close to the globally optimal solution to ensure convergence to a valid solution. Furthermore, it can also fail when there are points in one dataset with no corresponding matches in the other dataset. The proposed method automatically finds an initial alignment close to the global optimal by using the medial structure of the datasets. For this purpose, we first compute the medial scaffold of a 3d dataset: a 3d graph made of special shock curves linking special shock nodes. This medial scaffold is then regularized exploiting the known transitions of the 3d medial axis under deformation or perturbation of the input data. The resulting simplified medial scaffolds are then registered using a modified graduated assignment graph matching algorithm. The proposed method shows robustness to noise, shape deformations, and varying surface sampling densities.

关键词： Shape Electric shock Clouds Iterative methods Iterative closest point algorithm Iterative algorithms Joining processes Noise robustness Noise shaping Sampling methods

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disordered patterns projection for 3d motion recovering

Disordered patterns projection for 3D motion recovering

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international symposium on 3d data processing visualization and transmission

作者： A. Adan F. Molina L. Morena Departmento de Ingeniería Eléctrica Electrónica y Automática Universidad de Castilla La Mancha Ciudad Real Spain

We present a new color structured light technique based on a disordered codeword strategy. The aim of this method is to recover 3d information in moving scenes in such a way that the correspondence problem is easily and robustly solved. With this goal in mind a six-connectivity topology has been introduced in our pattern and color features have been inserted on it. Repetition and disorder are allowed in the codeword which implies that the Hamming distance between contiguous codewords increases. As a consequence of that, code loss circumstances can be efficiently handled. Additionally, computational cost in the code recovering phase is highly reduced since codewords are defined as sets. A structured light projection system has been built in our lab and a wide test under real moving conditions has been carried out. This experimentation has been performed on medium resolution and for slow movements specifications giving promising results.

关键词： Layout Encoding Cameras Image segmentation Robustness Topology Hamming distance Computational efficiency System testing Pixel

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Reliability and judging fatigue reduction in 3d perceptual quality estimation

Reliability and judging fatigue reduction in 3D perceptual q...

引用

international symposium on 3d data processing visualization and transmission

作者： I. Cheng A. Basu Department of Computing Science University of Alberta Edmonton Canada

Many factors, such as the number of vertices and the resolution of texture, can affect the display quality of 3d objects. When the resources of a graphics system are not sufficient to render the ideal image, degradation is inevitable. It is therefore important to study how individual factors will affect the overall quality, and how the degradation can be controlled given limited resources. In this paper, the essential factors determining the display quality are reviewed. We provide more details on our earlier presentation [Y. Pan et al., (2003)] on integrating two important ones, resolution of texture and resolution of mesh, to model a perceptual metric. We then present a preliminary study of the reliability of the perceptual experiments. Experiments demonstrate that the reliability of our user evaluations to be quite high. Finally, we also propose an approach for reducing user fatigue while performing perceptual quality evaluations.

关键词： Fatigue Life estimation Humans Lighting Pixel Visual system Image coding degradation Performance evaluation Spatial resolution

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A surface partitioning spectrum (SPS) for retrieval and indexing of 3d CAd models

A surface partitioning spectrum (SPS) for retrieval and inde...

引用

international symposium on 3d data processing visualization and transmission

作者： H.J. Rea J.R. Corney d.E.R. Clark N.K. Taylor Engineering and Physical Sciences Heriot-Watt University Edinburgh UK Mathematical and Computer Sciences Heriot-Watt University Edinburgh UK

Manual indexing of large databases of geometric information is costly and often impracticable. Because of this research into retrieval and indexing schemes has focused on the development of various 3d to 2d mappings that characterise a shape as a histogram with a small number of parameters. Many methods of generating such 2d signatures (i.e. histograms) have been proposed, generally based on geometric measures of say curvature or distance. However these geometric signatures lack information about topology and tend to become indistinct as the complexity of the shape increases. This work describes a new method for characterising both the geometry and topology of shapes in a single 2d graph, the surface partitioning spectrum (SPS). We evaluate the effectiveness of using the SPS with a neural network to assess the similarity of shapes within a test set.

关键词： Indexing Shape Testing Histograms Virtual manufacturing Information retrieval Solid modeling Mathematical model data engineering Physics computing

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Surface model generation from range images of industrial environments

Surface model generation from range images of industrial env...

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international symposium on 3d data processing visualization and transmission

作者： A.d. Sappa Barcelona Spain

We present an hybrid segmentation technique that combines both the speed of an edge based approach with the robustness of a surface based approach. It consists of three stages. In the first stage a scan line approximation process extracts the edges contained into the given range image. These edges are later on used to define the positions of seed points. Through the second stage a two steps region growing technique is applied. First a 2d growing process enlarges the original seed points generating bigger regions. Next, each region is fitted to a plane and a cylinder. The one that best fit the given points is selected to represent that region and used during the 3d growing stage. The 3d growing stage is carried out taking into account the approximation error from candidate points to be added to the fitted surface. In this way, each surface is grown until no points can be added according to a user defined threshold. Finally, in the third stage, a post-processing algorithm merges neighbour regions that belong to the same surface. Experimental results by using industrial environments are presented.

关键词： Image generation Image segmentation Robustness Surface fitting Approximation error Computer vision Solid modeling Packaging Layout Refining

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Segmenting correlation stereo range images using surface elements

Segmenting correlation stereo range images using surface ele...

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international symposium on 3d data processing visualization and transmission

作者： d. Murray J.J. Little Department of Computer Science University of British Columbia Vancouver BC Canada

This work describes methods for segmenting planar surfaces from noisy 3d data obtained from correlation stereo vision. We make use of local planar surface elements called patchlets. Patchlets have 3d position, orientation and size parameters. As well, they have positional confidence measures based on the stereo sensor model. Patchlet orientations (i.e., surface normals) provide important additional dimensionality that reduces the ambiguity of segmentation-by-clustering. Patchlet size allows the use of continuity or coverage constraints when segmenting bounded surfaces from depth images. We use a region-growing approach to identify the number of surfaces that exist in a stereo image and obtain an initial estimate of the surface parameters. We refine segmentation using a maximum likelihood clustering approach that is optimised with Expectation-Maximisation. Confidence measures on the patchlet parameters allow proper weighting of patchlet contributions to the solution. We provide experimental results of the segmentation on complex outdoor scenes.

关键词： Image segmentation Stereo vision Intelligent robots Position measurement Maximum likelihood estimation Layout Computer vision Navigation Computer science data mining

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A statistical method for robust 3d surface reconstruction from sparse data

A statistical method for robust 3D surface reconstruction fr...

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international symposium on 3d data processing visualization and transmission

作者： V. Blanz A. Mehl T. Vetter H.-P. Seidel Max Planck Institut für Informatik Saarbrucken Germany Department of Restorative Dentistry Ludwig-Maximilians University Munchen Germany Department Informatik University of Basel Basel Switzerland

General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from sparse 3d feature points or 2d projections of points. We present a technique that uses a vector space representation of shape (3d morphable model) to infer missing vertex coordinates. Regularization derived from a statistical approach makes the system stable and robust with respect to noise by computing the optimal tradeoff between fitting quality and plausibility. We present a direct, noniterative algorithm to calculate this optimum efficiently, and a method for simultaneously compensating unknown rigid transformations. The system is applied and evaluated in two different fields: (1) reconstruction of 3d faces at unknown orientations from 2d feature points at interactive rates, and (2) restoration of missing surface regions of teeth for CAd-CAM production of dental inlays and other medical applications.

关键词： Statistical analysis Surface reconstruction Teeth Humans Face Shape Noise robustness Noise shaping Production systems dentistry

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