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检索条件"任意字段=International Symposium on 3D Data Processing Visualization and Transmission"

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A CSC Based Classification Method For CT Bone Images

A CSC Based Classification Method For CT Bone Images

引用

Third international symposium on 3d data processing, visualization, and transmission (3dPVT)

作者： Patrick Sturm Lutz Priese Haojun Wang Institute of Computational Visualistics University of Koblenz Koblenz Germany Institute of Neurosciences Fourth Military Medical University Xi'an Shaanxi China

The CSC (color structure code) is a robust and fast two dimensional segmentation method which has been already generalized to three dimensional images. As the CSC does not need any prior knowledge it can be used for different applications. In this paper we focus on the segmentation of bones from Computer Tomography data (CT) with the CSC. In the postprocessing step CSC segments will be classified according to their average hounsfield value. The classification is steered by some application specific topological rules.

关键词： Computed tomography Bones Image segmentation Biological tissues visualization Robustness Application software Military computing Biomedical imaging Medical diagnostic imaging

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Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model

Shape Analysis and Spatio-Temporal Tracking of Mesoscale Edd...

引用

Third international symposium on 3d data processing, visualization, and transmission (3dPVT)

作者： Veena Moolani Ramprasad Balasubramanian Li Shen Amit Tandon Department of Computer and Information Science University of Massachusetts Dartmouth Dartmouth MA USA Department of Physics University of Massachusetts Dartmouth Dartmouth MA USA

detection and analysis of ocean surface phenomena have so far relied on manual analysis of long sequences of satellite images or images produced from the mathematical models. In this paper a technique for the three-dimensional shape analysis and spato-temporal tracking of mesoscale eddies from MICOM dataset is presented. Mesoscale eddies play a strong role in carrying heat poleward. The shape analysis of eddies provides a volumetric estimation which can be further used to determine the heat trapped in eddies. Eddies are detected and the region of swirling currents around the detected center is segmented. Segmented eddies are stacked to generate 3d visualization. A 3d skeleton is obtained with the centroids of all the layers in the segmented eddy and represented parametrically. Coefficients of the parametric representation are used for motion tracking of eddies.

关键词： Shape Oceans Image analysis Image sequence analysis Sea surface Satellites Mathematical model visualization Skeleton Tracking

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An Analysis of Errors in Feature-Preserving Mesh Simplification Based on Edge Contraction

An Analysis of Errors in Feature-Preserving Mesh Simplificat...

引用

international symposium on 3d data processing visualization and transmission

作者： Hongtao Xu Timothy S. Newman Department of Computer Science University of Alabama Huntsville Huntsville AL USA

The Quadric Error Metric (QEM) criterion has been widely applied in mesh simplification procedures. Related criteria-such as the Quasi-Covariance Error Metric (QCEM), which may produce superior results to the QEM-have also been reported in recent years. In this paper, the underlying reasons that criteria such as QEM and QCEM are so successful in mesh simplification processes are considered through analysis of error in the simplification process. Focus is on the use of the QEM and QCEM criteria in edge contraction-based mesh simplification.

关键词： Error analysis Shape Computer errors Animation Computer science Iterative methods Iterative algorithms Geometry Approximation methods data engineering

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Flatness and Orientation Signature for Modeling and Matching 3d Objects

Flatness and Orientation Signature for Modeling and Matching...

引用

international symposium on 3d data processing visualization and transmission

作者： H.B. darbandi M. Ito J. Little Electrical and Computer Engineering University of British Columbia Canada Computer Science University of British Columbia Canada

This paper proposes a new technique for modeling and matching three-dimensional rigid objects by encoding the fluctuation of the surface and the variation of its normal around an oriented point on the surface as the surface expands. The surface of the object is encoded into two two-dimensional curves as the surface signature on each point, and then the collection of the signatures are used to model and match the object. The signatures implicitly encode the curvature and symmetry of the surface around an oriented point. This modeling technique is robust to scale, orientation, noise, patch resolution, occlusion, and cluttering.

关键词： Noise robustness Image sampling Image coding Image resolution Principal component analysis Feature extraction Computer science Encoding Fluctuations Image recognition

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dynamic 3d Urban Scene Modeling Using Multiple Pushbroom Mosaics

Dynamic 3D Urban Scene Modeling Using Multiple Pushbroom Mos...

引用

international symposium on 3d data processing visualization and transmission

作者： Hao Tang Zhigang Zhu George Wolberg Department of Computer Science City College of New York New York NY USA

In this paper, a unified, segmentation-based approach is proposed to deal with both stereo reconstruction and moving objects detection problems using multiple stereo mosaics. Each set of parallel-perspective (pushbroom) stereo mosaics is generated from a video sequence captured by a single video camera. First a color-segmentation approach is used to extract the so-called natural matching primitives from a reference view of a pair of stereo mosaics to facilitate both 3d reconstruction of textureless urban scenes and man-made moving targets (e.g. vehicles). Multiple pairs of stereo mosaics are used to improve the accuracy and robustness in 3d recovery and occlusion handling. Moving targets are detected by inspecting their 3d anomalies, either violating the epipolar geometry of the pushbroom stereo or exhibiting abnormal 3d structure. Experimental results on both simulated and real video sequences are provided to show the effectiveness of our approach.

关键词： Layout Stereo vision Cameras data mining Stereo image processing Image reconstruction Geometry Object detection Video sequences Satellites

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Rao-Blackwellized Importance Sampling of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space

Rao-Blackwellized Importance Sampling of Camera Parameters f...

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international symposium on 3d data processing visualization and transmission

作者： Kevin Quennesson Frank dellaert Georgia Institute of Technology GVU Center Atlanta GA USA

Users know what they see before where they are: it is more natural to talk about high level visibility information ("I see such object") than about one's location or orientation. In this paper we introduce a method to find in 3d worlds a density of viewpoints of camera locations from high level visibility constraints on objects in this world. Our method is based on Rao-Blackwellized importance sampling. For efficiency purposes, the proposal distribution used for sampling is extracted from a visibility preprocessing technique adapted from computer graphics. We apply the method for finding in a 3d city model of Atlanta the virtual locations of real-world cameras and viewpoints.

关键词： Monte Carlo methods Cameras data preprocessing Cities and towns Space technology Proposals Computer graphics Robots Image sampling Reconstruction algorithms

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Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions

Constraint Integration for Multiview Pose Estimation of Huma...

引用

international symposium on 3d data processing visualization and transmission

作者： Abhinav Gupta Anurag Mittal Larry S. davis Department of Computer Science University of Maryland College Park MD USA Department of Computer Science IIT Madras Chennai India

detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multi- view framework to automatically detect humans in possibly crowded scenes. These constraints include the kinematic constraints, the occlusion of one part by another and the high correlation between the appearance of parts such as the two arms. The graphical structure (non-tree) obtained is optimized in a nonparametric belief propagation framework using prior based search.

关键词： Humans Computer science Layout Kinematics Tree data structures Cameras Educational institutions Computer vision Belief propagation Biological system modeling

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Learning Illumination Models While Tracking

Learning Illumination Models While Tracking

引用

international symposium on 3d data processing visualization and transmission

作者： Yilei Xu Amit K. Roy-Chowdhury Department of Electrical Engineering University of California Riverside CA USA

In this paper we present a method for estimation of 3d motion of a rigid object from a video sequence, while simultaneously learning the parameters of an illumination model that describe the lighting conditions under which the video was captured. This is achieved by alternately estimating motion and illumination parameters in a recently proposed mathematical framework for integrating the effects of motion, illumination and structure. The motion is represented in terms of translation and rotation of the object centroid, and the illumination is represented using a spherical harmonics linear basis. The method does not assume any model for the variation of the illumination conditions - lighting can change slowly or drastically, locally or globally. Also, it can be composed of combinations of point and extended sources. For multiple cameras viewing an object, we derive a new photometric constraint that relates the illumination parameters in two or more independent video sequences. This constraint allows verification of the illumination parameters obtained from multiple views and synthesis of new views under the same lighting conditions. We demonstrate the effectiveness of our algorithm in tracking under severe changes of lighting conditions.

关键词： Lighting data processing data visualization

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On 3d Retrieval from Photos

On 3D Retrieval from Photos

引用

international symposium on 3d data processing visualization and transmission

作者： Tarik Filali Ansary Jean-Phillipe Vandeborre Mohamed daoudi (LIFL UMR 8022 CNRS/USTL)(GET/INT-Telecom Lille 1) FOX-MIIRE Research Group USA

In this paper, we propose a method for 3d-model retrieval from one or more photos. This method provides an "optimal" selection of 2d views to represent a 3d-model, and a probabilistic Bayesian method for 3d-model retrieval from realistic photos and sketches using these views. The characteristic view selection algorithm is based on an adaptive clustering algorithm and uses statistical model distribution scores to select the optimal number of views. We also introduce a Bayesian approach to score the probability of correspondence between the queries and the 3d-models. We present our results on the Princeton 3d Shape Benchmark database (1814 3d-models) and 50 photos (real photographs, sketches, synthesised images). A practical on-line 3d-model retrieval system based on our approach is available on the web to asset our results.

关键词： Search engines Shape Bayesian methods Image databases Visual databases Clustering algorithms Electric shock Indexing Telecommunications Probability

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Expression Compensation for Face Recognition Using a Polar Geodesic Representation

Expression Compensation for Face Recognition Using a Polar G...

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international symposium on 3d data processing visualization and transmission

作者： Iordanis Mpiperis Sotiris Malassiotis Michael G. Strintzis Centre for Research and Technology Hellas Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

This paper addresses the problem of face recognition in the presence of facial deformations caused by expressions. An isometric mapping between surfaces is assumed, which allows preservation of geodesic distance between facial points. Subject to this assumption, we propose a novel technique which integrates 2d and 3d information to establish a new deformation invariant representation of the face. The 3d surface is used to define a polar geodesic coordinate space which is independent of the intrinsic geometry of the face. The corresponding color image is embedded in this space and serves as the recognition data. A preceding stage of hierarchical diffeomorphic grid-based image warping before the recognition process combined with a lip segmentation technique are also employed to increase the overall performance of the algorithm.

关键词： Face recognition Image recognition Geophysics computing Color Humans Face detection Multidimensional systems Geometry Image segmentation Biometrics

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