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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 Probabilistic Notion of Correspondence and the Epipolar Constraint

A Probabilistic Notion of Correspondence and the Epipolar Co...

引用

international symposium on 3d data processing visualization and transmission

作者： Justin domke Yiannis Aloimonos Computer Vision Laboratory Department of Computer Science University of Maryland College Park MD USA

We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being robust to points subject to the aperture effect and repetitive structure, while giving up no information at feature points. Additionally, correspondence probability distributions can be computed for every point in the scene. Next, we generate a probability distribution over the motions, from these correspondence probability distributions, through a probabilistic notion of the epipolar constraint. Finding the maximum in this distribution is shown to be a generalization of least-squared epipolar minimization. We will show that because our technique allows so much correspondence information to be extracted, more accurate ego- motion estimation is possible.

关键词： Probability distribution Computer vision distributed computing Robustness Layout Optical filters Image motion analysis data mining Optical noise Gabor filters

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Illumination Insensitive Model-Based 3d Object Tracking and Texture Refinement

Illumination Insensitive Model-Based 3D Object Tracking and ...

引用

international symposium on 3d data processing visualization and transmission

作者： Hua Yang Greg Welch Marc Pollefeys Computer Science Department University of North Carolina Chapel Hill Chapel Hill NC USA

A common approach to model-based tracking is to use a model of the object to predict what will be observed, and then to compare that with real observations. For methods that make use of the object's photometric properties (appearance) in their measurements, illumination inconsistencies between the modeled and actual scene can cause tracking problems. In this paper we address one case: model-based tracking of Lambertian objects under directional light sources. We present an iterative optimization method that uses a Kalman filter to simultaneously refine estimates of the object motion, the illumination, and the model texture. We model the illumination variance between the real and predicted observation using the intensity ratios of corresponding surface points, which we then use to make model-based image predictions consistent with the real lighting. To demonstrate the effectiveness of our method we present experimental results using both synthetic (controlled) and real image sequences.

关键词： Lighting Predictive models Image sequences Photometry Layout Solid modeling Graphics Light sources data mining Optical computing

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An Efficient Error-Bounded General Camera Model

An Efficient Error-Bounded General Camera Model

引用

international symposium on 3d data processing visualization and transmission

作者： Voicu Popescu Jordan dauble Chunhui Mei Elisha Sacks Computer Science Department Purdue University Lafayette IN USA

Camera models are essential infrastructure in computer vision, computer graphics, and visualization. The most frequently used camera models are based on the single- viewpoint constraint. Removing this constraint brings the advantage of improved flexibility in camera design. However, prior camera models that eliminate the single- viewpoint constraint are inefficient. We describe an approximate model for coherent general cameras, which projects efficiently with user chosen accuracy. The rays of the general camera are partitioned into simple cameras that approximate the camera locally. The simple cameras are modeled with k- ray cameras, a novel class of non-pinhole cameras. The rays of a k-ray camera interpolate between k construction rays. We analyze several variants of k-ray cameras. The resulting compound camera model is efficient because the number of simple cameras is orders of magnitude lower than the original number of rays camera, and because each simple camera offers closed-form projection.

关键词： Cameras Rendering (computer graphics) Computer graphics Layout visualization Application software Computer vision Reflection Computer errors Computer science

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Anatomically-Aware, Automatic, and Fast Registration of 3d Ear Impression Models

Anatomically-Aware, Automatic, and Fast Registration of 3D E...

引用

international symposium on 3d data processing visualization and transmission

作者： Alexander Zouhar Tong Fang Gozde Unal Greg Slabaugh Hui Xie Fred McBagonluri Siemens Corporate Research Department of Intelligent Vision and Reasoning Princeton New Jersey Siemens Hearing Instruments Piscataway New Jersey

We present a registration framework based on feature points of anatomical, 3d shapes represented in the point cloud domain. Anatomical information is utilized throughout the complete registration process. The surfaces, which in this paper are ear impression models, are considered to be similar in the way that they possess the same anatomical regions but with varying geometry. First, in a shape analysis step, features of important anatomical regions (such as canal, aperture, and concha) are extracted automatically. Next these features are used in ordinary differential equations that update rigid registration parameters between two sets of feature points. For refinement of the results, the GCP algorithm is applied. Through our experiments, we demonstrate our technique's success in surface registration through registration of key anatomical regions of human ear impressions. Furthermore, we show that the proposed method achieves higher accuracy and faster performance than the standard GCP registration algorithm.

关键词： Ear Shape Humans Irrigation Apertures data mining Clouds Geometry Robustness Computer vision

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Aerial LidAR data Classification Using Support Vector Machines (SVM)

Aerial LiDAR Data Classification Using Support Vector Machin...

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international symposium on 3d data processing visualization and transmission

作者： Suresh K. Lodha Edward J. Kreps david P. Helmbold darren Fitzpatrick Department of Computer Science University of California Santa Cruz CA USA

We classify 3d aerial LidAR scattered height data into buildings, trees, roads, and grass using the support vector machine (SVM) algorithm. To do so we use five features: height, height variation, normal variation, LidAR return intensity, and image intensity. We also use only LidAR- derived features to organize the data into three classes (the road and grass classes are merged). We have implemented and experimented with several variations of the SVM algorithm with soft-margin classification to allow for the noise in the data. We have applied our results to classify aerial LidAR data collected over approximately 8 square miles. We visualize the classification results along with the associated confidence using a variation of the SVM algorithm producing probabilistic classifications. We observe that the results are stable and robust. We compare the results against the ground truth and obtain higher than 90% accuracy and convincing visual results.

关键词： Support vector machines Support vector machine classification Laser radar Classification tree analysis data visualization Roads Classification algorithms Vegetation mapping Kernel Iterative algorithms

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Multi-Chart Geometry Video: A Compact Representation for 3d Animations

Multi-Chart Geometry Video: A Compact Representation for 3D ...

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international symposium on 3d data processing visualization and transmission

作者： Khaled Mamou Titus Zaharia Francoise Preteux Institut National des Télécommunications / ARTEMIS Department Groupe des Ecoles des Télécommunications Evry France

This paper introduces a new compression scheme, so- called Multi-Chart Geometry Video (MCGV), for 3d dynamic meshes with constant connectivity and time-varying geometry. The core of the proposed method is a piecewise affine predictor coupled with a Multi-Chart Geometry IMage (MCGIM) representation of the residual errors. The mesh is first partitioned into vertex clusters whose motion can be accurately described by a unique 3d affine transform. The prediction errors are represented as MCGIMs which are compressed by using standardized image encoders such as JPEG and MPEG-4. The performances of our encoder are objectively evaluated on a data set of six animation sequences with various sizes, geometries and topologies, and exhibiting both rigid and elastic motions. The experimental evaluation shows that the proposed MCGV achieves up to 60% lower compression distortions than the geometry video approach, while outperforming (with 30% to 94% lower distortions) the RT, MPEG-4IAFX-IC, d3dMC, PCA and dynapack techniques.

关键词： Geometry Animation Image coding Video compression MPEG 4 Standard Performance evaluation Topology Bones Protection Transform coding

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Motion Parallax without Motion Compensation in 3d Cluttered Scenes

Motion Parallax without Motion Compensation in 3D Cluttered ...

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international symposium on 3d data processing visualization and transmission

作者： M.S. Langer V. Chapdelaine-Couture R. Mann S. Roy School of Computer Science McGill University Montreal QUE Canada School of Computer Science University of Waterloo Waterloo ONT Canada University of Montreal DIRO Montreal QUE Canada

When an observer moves through a rigid 3d scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between image velocity vectors is the direction of motion parallax. This direction vector points towards the observer's translation direction. Hence estimates of the direction of motion parallax are useful for estimating the observer's translation direction. Standard ways to compute the direction of motion parallax either rely on precomputed optical flow, or rely on motion compensation to remove the local image shift caused by observer rotation. Here we present a simple Fourier-based method for estimating the direction of motion parallax directly, that does not require optical flow and motion compensation. The method is real-time and performs accurately for image regions in which multiple motions are present.

关键词： Motion compensation Layout Motion estimation Image motion analysis Optical computing Principal component analysis Computer science Frequency domain analysis

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Estimating a-priori Unknown 3d Axially Symmetric Surfaces from Noisy Measurements of Their Fragments

Estimating a-priori Unknown 3D Axially Symmetric Surfaces fr...

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international symposium on 3d data processing visualization and transmission

作者： Andrew Willis david B. Cooper Department of Electrical and Computer Engineering North Carolina State University Charlotte NC USA Division of Engineering Brown University Providence RI USA

In this paper, we present a computationally efficient technique for solving the difficult problem of estimating the global shape of a ceramic pot from measurements of its fragments. Each unknown pot is modeled as a surface of revolution, i.e., a 3d line- the central axis of the pot- and a 2d profile curve with respect to that axis. For each fragment, a probabilistic distribution is estimated which models both the geometric shape of the fragment and the variability of the estimated fragment shape. Estimation of the global pot shape is then a Maximum Likelihood Estimation (MLE) problem where we seek the values of the Euclidean transformation parameters that maximize the joint probability of the matched fragments' axis/profile-curve models (which includes the additional constraint that the matched fragments must share a common central axis). This is a new type of curve-analysis problem and our solution is a new and effective approach applicable for generic constrained 2d curve alignment and for modeling of 3d axially-symmetric surfaces and for comparing geometric models which may correspond over a subset of the complete model.

关键词： Solid modeling Assembly Stochastic processes Shape measurement Maximum likelihood estimation Electric variables measurement Size measurement Noise shaping Ceramics degradation

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Contour-Based Object detection in Range Images

Contour-Based Object Detection in Range Images

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international symposium on 3d data processing visualization and transmission

作者： Stefan Stiene Kai Lingemann Andreas Nuchter Joachim Hertzberg Knowledge-Based Systems Research Group University of Osnabrück Osnabruck Germany

This paper presents a novel object recognition approach based on range images. due to its insensitivity to illumination, range data is well suited for reliable silhouette extraction. Silhouette or contour descriptions are good sources of information for object recognition. We propose a complete object recognition system, based on a 3d laser scanner, reliable contour extraction with floor interpretation, feature extraction using a new, fast eigen-CSS method, and a supervised learning algorithm. The recognition system was successfully tested on range images acquired with a mobile robot, and the results are compared to standard techniques, i.e., geometric features, Hu and Zernike moments, the border signature method and the angular radial transformation. An evaluation using the receiver operating characteristic analysis completes this paper. The eigen-CSS method has proved to be comparable in detection performance to the top competitors, yet faster than the best one by an order of magnitude in feature extraction time.

关键词： Object detection Object recognition data mining Feature extraction Lighting Information resources Supervised learning Image recognition System testing Mobile robots

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Orientation of Fragments of Rotationally Symmetrical 3d-Shapes for Archaeological documentation

Orientation of Fragments of Rotationally Symmetrical 3D-Shap...

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international symposium on 3d data processing visualization and transmission

作者： Hubert Mara Robert Sablatnig Institute for Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Motivated by the requirements of modern archaeologists, we are developing a documentation system based on structured light for acquisition of ceramics. Fragments of ceramics are daily finds at excavations and important for archaeological research, because their shape leads to information about ancient cultures. The shapes used for documentation are called profile lines and estimated by a vertical cross-section of orientated fragments. As ceramics have been produced using rotational plates for several thousands of years, the rotational axis can be used for orientation. Therefore we conducted experiments using existing methods for estimation of the rotational axis. The drawbacks of these methods are the requirement of either complete objects or industrialized quality of symmetry. Therefore we show a new method using circle templates, which has been inspired by the manual method of archaeologists. In this work we present results using previous and related work in comparison with the estimation of the rotational axis using circle templates. The results of the presented methods are shown for synthetic data, well-known fragments and real data acquired at an archaeological excavation. Finally a conclusion and an outlook is given.

关键词： documentation Ceramics Shape Orifices Principal component analysis Automation Pattern recognition Image processing Manufacturing Filling

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