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检索条件"任意字段=3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006"

共 148 条记录，以下是71-80 订阅

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Perturbation estimation of the subspaces for structure from motion with noisy and missing data

Perturbation estimation of the subspaces for structure from ...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Jia, Hongjun Fortuna, Jeff Martinez, Aleix M. Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA

ISBN: (纸本)9780769528250

It is common when analyzing experimental data to encounter matrices that have been contaminated by noise and have missing elements. Missing data can be recovered with imputation methods if the measurement data matrix is of low rank and the data is noise-free. However, iterative imputation can produce poor results for cases of large not. se or a large proportion of missing data. Non-imputing methods rely on the use of existent data and require a selection of complete submatrices. Jacobs introduced a non-imputing method which can produce good results, but the randomness in selecting the submatrices cannot guarantee a consistently accurate recovery of missing data. Chen and Suter's method chooses the most reliable submatrix based on the number of missing data elements only, which fails to consider the effect of noise on the selected data. Herein, a new criterion based on an estimate of the sensitivity of submatrices to perturbation is introduced which takes into consideration that in some cases a column with more missing data could provide more useful information than one with less missing data. Experimental results for the problem of Structure from Motion with noisy point correspondences and missing data show that our criterion can sort submatrices properly in terms of their possible perturbation and recover the 3d structure of the scene more accurately than other non-imputing methods.

关键词： Recovery

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d>Transforming Least Squares to Weighted Least Squares for Accurate Range Image Registrationd>

<bold>Transforming Least Squares to Weighted Least Squares f...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Liu, Yonghuai Zhou, Hong Su, Xuan Ni, Mingxin Lloyd, Robert J. Univ Wales Aberystwyth SY23 3DB Dyfed Wales

ISBN: (纸本)9780769528250

The traditional ICP algorithm is a de facto standard approach for range image registration. While it assumes that one data set is a subset of another this assumption is often violated in practice. As a result, a number of algorithms have been developed to first eliminate false matches due to occlusion, appearance and disappearance of points and then estimate the camera motion parameters in the least squares sense. Instead of eliminating outliers in the process of image registration, we in this paper use the generalised entropy to estimate the probability of correspondences established using the traditional closest point criterion, leading camera motion parameters to be estimated in the weighted least squares sense. For more accurate registration results, we also learn from the probability of correspondences estimated in the past. Since one point in one data set can only correspond to a single point in another the two way constraint is also imposed. Finally the camera motion parameters are optimized using the powerful mean field annealing scheme. A comparative study based on real images has shown that the proposed algorithm produces promising automatic range image registration results.

关键词： Image registration

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A Bayesian approach to building footprint extraction from aerial LIdAR data

A Bayesian approach to building footprint extraction from ae...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Wang, Oliver Lodha, Suresh K. Helmbold, david P. Univ Calif Santa Cruz Santa Cruz CA 95064 USA

ISBN: (纸本)9780769528250

Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are often highly manual and rely largely on architectural blueprints or skilled modelers. In this work we will use aerial LIdAR data to generate building footprints automatically. Existing automatic methods have been mostly unsuccessful due to large amounts of noise around building edges. We present a novel Bayesian technique for automatically constructing building footprints from a pre-classified LIdAR point cloud. Our algorithm first computes a bounded-error approximate building footprint using an application of the shortest path algorithm. We then determine the most probable building footprint by maximizing the posterior probability using linear optimization and simulated annealing techniques. We have applied our algorithm to more than 300 buildings in our data set and observe that we obtain accurate building footprints compared to the ground truth. Our algorithm is automatic and can be applied to other man-made shapes such as roads and telecommunication lines with minor modifications.

关键词： Antennas

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Third international symposium on 3d data processing, visualization, and transmission -Title

Third International Symposium on 3D Data Processing, Visuali...

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international symposium on 3d data processing visualization and transmission

The following topics were dealt with: urban modeling; 3d navigation; geometric modelling; visual hulls; 3d coding and transmission; 3d retrieval; multiple view reconstruction; and large scale models and view planning.

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Third international symposium on 3d data processing, visualization, and transmission -Copyright

Third International Symposium on 3D Data Processing, Visuali...

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international symposium on 3d data processing visualization and transmission

Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.

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VisTRE: A visualization Tool to Evaluate Errors in Terrain Representation

VisTRE: A Visualization Tool to Evaluate Errors in Terrain R...

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international symposium on 3d data processing visualization and transmission

作者： Christopher G. Healey Jack Snoeyink Computer Science Department North Carolina State University Raleigh NC USA Computer Science Department UNC Chapel Hill Chapel Hill NC USA

New data sources and sensors bring new possibilities for terrain representations, and new types of characteristic errors. We develop a system to visualize and compare terrain representations and the errors they produce.

关键词： data visualization Tin Quality assessment Sensor phenomena and characterization Computer science Statistical analysis Computer errors Lifting equipment Radar Surfaces

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Multimodal 3d Shape Recovery from Texture, Silhouette and Shadow Information

Multimodal 3D Shape Recovery from Texture, Silhouette and Sh...

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

作者： Luca Ballan Guido Maria Cortelazzo Department of Information Engineering University of Padova Padova Italy

Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order to increase the overall information. The combination of stereo matching and silhouette information has recently received considerable attention both for obtaining high quality 3d models and for modelling 3d dynamic scenes. In this paper we present a 3d shape recovery system which fuse together silhouette, texture and shadow information. More precisely, we formulate the fusion problem of these three types of information. Experimental verification shows that the new method is capable to reconstruct a wider range of objects.

关键词： Shape Image reconstruction Layout data mining Fuses Light sources Reflectivity Robustness Object detection Surface reconstruction

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An Automatic 3d Ear Recognition System

An Automatic 3D Ear Recognition System

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

作者： Ping Yan Kevin. W. Bowyer Department of Computer Science and Engineering University of Notre Dame Notre Dame IN USA

Previous works have shown that the ear is a good candidate for a human biometric. However, in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in the data, especially that caused by hair and earrings. We present a novel solution to the automated cropping of the ear and implement it in an end-to-end solution for biometric recognition. We demonstrate our automatic recognition process with the largest study to date in ear biometrics, 415 subjects, achieving a rank one recognition rate of 97.6%. This work represents a breakthrough in ear biometrics and paves the way for commercial quality, fully automatic systems.

关键词： Ear Biometrics Shape Hair Image recognition Image edge detection Humans Image segmentation Computer science Neural networks

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distortion-Sensitive Synthesis of Texture and Geometry in Interactive 3d visualization

Distortion-Sensitive Synthesis of Texture and Geometry in In...

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international symposium on 3d data processing visualization and transmission

作者： Nicola Brusco Pietro Zanuttigh david Taubman Guido Maria Cortelazzo University of New South Wales Sydney Australia Università di Padova Padova Italy

This paper addresses the problem of remote browsing of 3d scenes. Texture and geometry information are both available at server side in the form of scalably compressed images and depth maps. We propose a framework for the dynamic allocation of the available transmission resources between geometry and texture. Both the transmission of new images and the improvement of the already transmitted ones are taken into account. We also introduce a novel strategy for distortion-sensitive synthesis of both geometry and rendered imagery at client side.

关键词： visualization Image coding Layout Rendering (computer graphics) Information geometry Solid modeling Resource management Geometrical optics Australia Computational geometry

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Point Containment in discrete Arbitrary dimension

Point Containment in Discrete Arbitrary Dimension

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international symposium on 3d data processing visualization and transmission

作者： Luciano Silva Computer Science Department Universidade Mackenzie Brazil

The point containment predicate which specifies if a point is part of a mathematically defined shape is one of the most elementary operations in computer graphics and is a natural way to perform the many raster calculations. It plays an essential role in several important processes such as filling, stroking, anti-aliasing, geometric modeling and volume rendering. This paper presents a generalized point containment algorithm for arbitrary dimension discrete objects whose main characteristics are low complexity, simple data structures and suitability for hardware implementation.

关键词： Computer graphics Rendering (computer graphics) Filling Solid modeling data structures Hardware Geometry Computer science Shape Buildings

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