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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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Towards Urban 3d Reconstruction from Video

Towards Urban 3D Reconstruction from Video

引用

international symposium on 3d data processing visualization and transmission

作者： A. Akbarzadeh J.-M. Frahm P. Mordohai B. Clipp C. Engels d. Gallup P. Merrell M. Phelps S. Sinha B. Talton L. Wang Q. Yang H. Stewenius R. Yang G. Welch H. Towles d. Nister M. Pollefeys Department of Computer Science Center for Visualization and Virtual Environments University of Kentucky Lexington USA Department of Computer Science University of North Carolina Chapel Hill Chapel Hill USA

The paper introduces a data collection system and a processing pipeline for automatic geo-registered 3d reconstruction of urban scenes from video. The system collects multiple video streams, as well as GPS and INS measurements in order to place the reconstructed models in geo- registered coordinates. Besides high quality in terms of both geometry and appearance, we aim at real-time performance. Even though our processing pipeline is currently far from being real-time, we select techniques and we design processing modules that can achieve fast performance on multiple CPUs and GPUs aiming at real-time performance in the near future. We present the main considerations in designing the system and the steps of the processing pipeline. We show results on real video sequences captured by our system.

关键词： Cameras Global Positioning System Image reconstruction Surface reconstruction data visualization Pipelines Layout Vehicles Surface texture Computer science

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Automatic Locating of Anthropometric Landmarks on 3d Human Models

Automatic Locating of Anthropometric Landmarks on 3D Human M...

引用

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

作者： Zouhour Ben Azouz Chang Shu Anja Mantel Visual Information Technology Group Institute for Information Technology National Research Council Canada Ottawa Canada Stuttgart University of Applied Sciences Stuttgart Germany

We present an algorithm for automatic locating of anthropometric landmarks on 3d human scans. Our method is based on learning landmark characteristics and the spatial relationships between them from a set of human scans where the landmarks are identified. The learned information is formulated by a pairwise Markov network. Each node of the network is a random variable corresponding to the position of a landmark. The edges of the network represent correlations between the positions of landmark pairs. Probabilistic inference is then performed over the Markov network to locate the landmarks. We evaluated the algorithm on 30 human models with different shapes. The results showed good accuracy for most of the landmarks.

关键词： Humans Biological system modeling Markov random fields Probability Information technology Random variables Shape Anthropometry Statistical learning Inference algorithms

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An Improved 3d Human Face Reconstruction Approach Based on Cubic Splines Models

An Improved 3D Human Face Reconstruction Approach Based on C...

引用

international symposium on 3d data processing visualization and transmission

作者： Boulbaba Ben Amor Mohsen Ardabilian Liming Chen MI Department Ecole Centrale de Lyon LIRIS Laboratory-CNRS Lyon France

In this paper, we develop a new hybrid active vision/geometric modeling approach dedicated to 3d human face recovery. Initially, a 3d coarse reconstruction is obtained via a structured-light assisted stereo sensor. Here, the stereo matching problem is resolved through two main stages: (a) sub-pixel stripe edge localization of projected patterns of light, and (b) correspondences establishing based on adaptive dynamic programming optimization technique. Next, the introduction of smooth interpolation models achieves the fine reconstruction. Here, cubic spline curves are employed in order to improve the quality of the reconstructed models. Indeed, they allow us to produce dense and details preserving reconstructions by following the control points from the coarse reconstruction stage. Furthermore, we present some reconstruction results and discuss both qualitative and quantitative evaluations of the proposed reconstruction scheme.

关键词： Humans Image reconstruction Face recognition Face detection Laboratories Facial animation Optical distortion data mining Optical sensors Authentication

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Retrieval of Colored 3d Models

Retrieval of Colored 3D Models

引用

international symposium on 3d data processing visualization and transmission

作者： G.M. Cortelazzo N. Orio Department of Information Engineering University of Padova Padova Italy

The number of 3d models that are available from the Web is increasingly growing, motivating the research on content- based retrieval from shape information. In this paper we propose to extend the approach to colored 3d models, which start to become more and more popular. To this end we propose a content descriptor that combines together shape and color information and it is based on an extension of spin-images, where also texture information is taken into account. The proposed approach has been evaluated on a collection of 600 automatically colored 3d models, considering as relevant to a query only the models with the same shape and the same added texture. Results show that the approach gave good results in terms of retrieval effectiveness, also if compared to a pure shape-based approach. Issues related to computational cost have been addressed proposing two alternative improvements that have been evaluated and compared with the basic approach.

关键词： Content based retrieval Information retrieval Testing Computational efficiency Euclidean distance Histograms Shape measurement databases Biomedical imaging Electronic commerce

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Efficient Constraint Evaluation Algorithms for Hierarchical Next-Best-View Planning

Efficient Constraint Evaluation Algorithms for Hierarchical ...

引用

international symposium on 3d data processing visualization and transmission

作者： Kok-Lim Low Anselmo Lastra National University of Singapore Singapore University of North Carolina Chapel Hill USA

We recently proposed a new and efficient next-best- view algorithm for 3d reconstruction of indoor scenes using active range sensing. We overcome the computation difficulty of evaluating the view metric function by using an adaptive hierarchical approach to exploit the various spatial coherences inherent in the acquisition constraints and quality requirements. The impressive speedups have allowed our NBV algorithm to become the first to be able to exhaustively evaluate a large set of 3d views with respect to a large set of surfaces, and to include many practical acquisition constraints and quality requirements. The success of the algorithm is greatly dependent on the implementation efficiency of the constraint and quality evaluations. In this paper, we describe the algorithmic details of the hierarchical view evaluation, and present efficient algorithms that evaluate sensing constraints and surface sampling densities between a view volume and a surface patch instead of simply between a single view point and a surface point. The presentation here provides examples for the design of efficient algorithms for new sensing constraints.

关键词： Sampling methods Layout Surface reconstruction Spatial coherence Algorithm design and analysis Geometry Humans Approximation algorithms data processing data visualization

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Compression of Human Motion data Sequences

Compression of Human Motion Data Sequences

引用

international symposium on 3d data processing visualization and transmission

作者： Guodong Liu Leonard McMillan Department of Computer Science University of North Carolina Chapel Hill Chapel Hill NC USA

As more and more human motion data are widely used to animate computer graphics figures in many applications, there is an imperative need to compress motion data for compact storage and fast transmission. We propose a data-driven method for efficient compression of human motion sequences by exploiting both spatial and temporal coherences of the data. We first segment a motion sequence into subsequences such that the poses within a subsequence lie near a low dimensional linear space. We then compress each segment using the principal component analysis. Further compression is achieved by storing only the key frames' projections to the principal component space and interpolating the other frames in-between the key frames via spline functions. The experimental results show that our method can achieve significant compression rate with low reconstruction errors.

关键词： Humans Principal component analysis Animation Spline Linearity Computer science Computer graphics Application software Internet Games

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Automatic 3d Face detection, Normalization and Recognition

Automatic 3D Face Detection, Normalization and Recognition

引用

international symposium on 3d data processing visualization and transmission

作者： Ajmal Mian Mohammed Bennamoun Robyn Owens School of Computer Science and Software Engineering University of Western Australia Crawley WA Australia

A fully automatic 3d face recognition algorithm is presented. Several novelties are introduced to make the recognition robust to facial expressions and efficient. These novelties include: (1) Automatic 3d face detection by detecting the nose; (2) Automatic pose correction and normalization of the 3d face as well as its corresponding 2d face using the Hotelling transform; (3) A spherical face representation and its use as a rejection classifier to quickly reject a large number of candidate faces for efficient recognition; and (4) Robustness to facial expressions by automatically segmenting the face into expression sensitive and insensitive regions. Experiments performed on the FRGC Ver 2.0 dataset (9,500 2d/3d faces) show that our algorithm outperforms existing 3d recognition algorithms. We achieved verification rates of' 99.47% and 94.09% at 0.001 FAR and identification rates of 98.03% and 89.25% for probes with neutral and non-neutral expression respectively.

关键词： Face detection Face recognition Robustness Independent component analysis Nose Karhunen-Loeve transforms Lighting Principal component analysis Support vector machines Shape

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Region-Based Motion Analysis and 3d Reconstruction for a Translational Video Sequence

Region-Based Motion Analysis and 3D Reconstruction for a Tra...

引用

international symposium on 3d data processing visualization and transmission

作者： Xiaodong Huang Eric dubois School of Information Technology and Engineering (SITE) University of Ottawa Ottawa ONT Canada

This paper presents a hybrid 1d motion estimation algorithm which combines pixel-based and region-based approaches that can give depth images from translational video sequences with very high quality. Firstly, we combine the motion information estimated by a variational regularization approach and by the Gabor transform through histogram analysis to identify those regions with zero motion (like for the sky). Then another round of region matching is carried out to refine the motion values for the other regions. Our algorithm can detect most of the sky regions segmented by foreground objects with complex geometry while keeping the boundaries of moving objects sharp and clear, which is an very important feature to obtain accurate 3d models. The high quality motion maps/depth images obtained by our algorithm are shown along with 3d reconstructions from novel viewpoints.

关键词： Motion analysis Video sequences Image reconstruction Motion estimation Pixel Histograms Image motion analysis Information analysis Object detection Image segmentation

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Light Source Calibration for IBR and BTF Acquisition Setups

Light Source Calibration for IBR and BTF Acquisition Setups

引用

international symposium on 3d data processing visualization and transmission

作者： Alexander Neubeck Alexey Zalesny Luc Van Gool Computer Vision Laboratory Swiss Federal Institute of Technology Switzerland

Working with IBR/BTF data requires a complete calibration. Modern setups speed up recordings by using multiple lamps and cameras. Therefore, the calibration task gets more time consuming and challenging, especially for an accurate calibration of multiple light sources. Most works are dedicated to the calibration of cameras, whereas the light field calibration problem remains as a rule overlooked. Our experiments have shown that the spatial variance of light strength can be vigorous, inducing serious damage to the IBR/BTF data. We propose a novel method based on Helmholtz reciprocity, which derives light field information directly from the target IBR/BTF data rather than from specially dedicated calibration objects. Instead of repeating the recording of a huge number of images, only one additional image is needed.

关键词： Light sources Calibration Lamps Cameras Layout Brightness Computer vision Image databases Visual databases visualization

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Fast and Efficient dense Variational Stereo on GPU

Fast and Efficient Dense Variational Stereo on GPU

引用

international symposium on 3d data processing visualization and transmission

作者： Julien Mairal Renaud Keriven Alexandre Chariot CERTIS ENPC ParisTech Marne la vallee France

Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel single instruction multiple data (SIMd) machines. This new trend is called general purpose computation on graphics processing unit (GPGPU). Regarding the stereo problem, variational methods based on deformable models provide dense, smooth and accurate results. Nevertheless, they prove to be slower than usual disparity-based approaches. In this paper, we present a dense stereo algorithm, handling occlusions, using three cameras as inputs and entirely implemented on a graphics processing unit (GPU). Experimental speedups prove that our approach is efficient and perfectly adapted to the GPU, leading to nearly video frame rate reconstruction.

关键词： Cameras Image reconstruction deformable models Computer graphics Rendering (computer graphics) Photometry Surface reconstruction Shape Central processing Unit Moore's Law

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