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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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Efficient, Precise, and Accurate Utilization of the Uniqueness Constraint in Multi-View Stereo

Efficient, Precise, and Accurate Utilization of the Uniquene...

引用

international symposium on 3d data processing visualization and transmission

作者： Xenophon Zabulis Georgios Kordelas Informatics and Telematics Institute Greece

In this paper, the depth cue due to the assumption of texture uniqueness is reviewed. The spatial direction over which a similarity measure is optimized, in order to establish a stereo correspondence, is considered and methods to increase the precision and accuracy of stereo reconstructions are presented. An efficient implementation of the above methods is offered, based on optimizations that evaluate potential correspondences hierarchically, in the spatial and angular dimensions. Furthermore, the expansion of the above techniques in a multi-view framework where calibration errors cause the misregistration of individually obtained reconstructions are considered, and a treatment of the data is proposed for the elimination of duplicate reconstructions of a single surface point. Finally, a processing step is proposed for the increase of reconstruction precision and post-processing of the final result. The above contributions are integrated in a generic and parallelizable implementation of the uniqueness constraint to observe speedup and increase in the fidelity of surface reconstruction.

关键词： Image reconstruction Surface treatment Surface reconstruction Cameras Optimization methods Stereo image processing Calibration Layout Informatics Telematics

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direct and Indirect 3-d Reconstruction from Opti-Acoustic Stereo Imaging

Direct and Indirect 3-D Reconstruction from Opti-Acoustic St...

引用

international symposium on 3d data processing visualization and transmission

作者： H. Sekkati S. Negahdaripour Electrical and Computer Engineering University of Miami Miami FL USA

Utilization of an acoustic camera for range measurements is a significant advantage for 3d shape recovery of underwater targets by opti-acoustic stereo imaging, where the associated epipolar geometry of visual and acoustic image correspondences is described in terms of conic sections and trigonometric functions. In this paper, we propose and analyze a number of methods based on direct and indirect approaches that provide insight on the merits of the new imaging and 3d object reconstruction paradigm. We have devised certain indirect methods, built on a regularization formulation, to first compute from noisy correspondences maximum likelihood estimates that satisfy the epipolar geometry. The 3d target points can then be determined from a number of closed-form solutions applied to these ML estimates. An alternative direct approach is also presented for 3d reconstruction directly from noisy correspondences. Computer simulations verify consistency between the analytical and experimental reconstruction SNRs - the criterion applied in performance assessment of these various solutions.

关键词： Three dimensional displays Stereo image processing Acoustic imaging Image reconstruction Underwater acoustics Shape measurement Maximum likelihood estimation Cameras Acoustic measurements Geometry

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Hierarchical Representation of Virtual Cities for Progressive transmission over Networks

Hierarchical Representation of Virtual Cities for Progressiv...

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international symposium on 3d data processing visualization and transmission

作者： J. Royan R. Balter C. Bouville France Telecom R&D Rennes France

Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a client- server system allowing navigation over 3d cities in real time. due to a novel progressive and hierarchical representation of 3d models of densely built urban areas, only perceptible details for all the regions visible from a given viewpoint are progressively streamed to visualisation clients. Furthermore, efficient coding methods are used to compress the representation data allowing quick start-up of the interactive visualisation with a highly-detailed model. This is achieved through a set of dedicated algorithms allowing a very large city model to be structured into a multi-resolution representation. The method efficiently exploits the fact that most automated modelling techniques of urban scenes provides 2d1/2 models (building footprint, height, altitude, ...). So as to efficiently and faithfully model complex buildings, a procedural representation for roofs and facades is proposed. Finally, we present an MPEG4 compatible implementation based on the introduction of new node types with the associated bitstream.

关键词： Cities and towns Telecommunications Research and development Navigation Layout data visualization MPEG 4 Standard Buildings Bandwidth Geographic Information Systems

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Multiview 3d Tracking with an Incrementally Constructed 3d Model

Multiview 3D Tracking with an Incrementally Constructed 3D M...

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international symposium on 3d data processing visualization and transmission

作者： Karel Zimmermann Tomas Svoboda Jiri Matas Center for Machine Perception Czech Technical University Prague Czech Republic Center for Applied Cybernetics Czech Technical University Prague Czech Republic

We propose a multiview tracking method for rigid objects. Assuming that a part of the object is visible in at least two cameras, a partial 3d model is reconstructed in terms of a collection of small 3d planar patches of arbitrary topology. The 3d representation, recovered fully automatically, allows to formulate tracking as gradient minimization in pose (translation, rotation) space. As the object moves, the 3d model is incrementally updated. A virtuous circle emerges: tracking enables composition of the partial 3d model; the 3d model facilitates and robustifies the multiview tracking. We demonstrate experimentally that the interleaved track-and-reconstruct approach successfully tracks a 360 degrees turn-around and a wide range of motions. Monocular tracking is also possible after the model is constructed. Using more cameras, however, significantly increases stability in critical poses and moves. We demonstrate how to exploit the 3d model to increases stability in the presence of uneven and/or changing illumination.

关键词： Cameras Tracking Image reconstruction Stability Lighting Layout Shape Cybernetics Topology Robustness

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Graph Cut Based Multiple View Segmentation for 3d Reconstruction

Graph Cut Based Multiple View Segmentation for 3D Reconstruc...

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international symposium on 3d data processing visualization and transmission

作者： Mario Sormann Christopher Zach Konrad Karner VRVis Research Center Graz Austria

In this paper we propose a novel framework for efficiently extracting foreground objects in so called short-baseline image sequences. We apply the obtained segmentation to improve subsequent 3d reconstruction results. Essentially, our framework combines a graph cut based optimization algorithm with an intuitive user interface. At first a meanshift segmentation algorithm partitions each image of the sequence into a certain number of regions. Additionally we provide an intelligent graphical user interface for easy specification of foreground as well as background regions across all images of the sequence. Within the graph cut optimization algorithm we define new energy terms to increase the robustness and to keep the segmentation of the foreground object coherent across all images of the sequence. Finally, a refined graph cut segmentation and several adjustment operations allow an accurate and effective foreground extraction. The obtained results are demonstrated on several real world data sets.

关键词： Image segmentation Image reconstruction Image sequences Robustness Humans Partitioning algorithms Graphical user interfaces Image analysis Video sequences User interfaces

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A Perceptually driven Model for transmission of Arbitrary 3d Models over Unreliable Networks

A Perceptually Driven Model for Transmission of Arbitrary 3D...

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international symposium on 3d data processing visualization and transmission

作者： Irene Cheng Lihang Ying Anup Basu Department of Computing Science University of Alberta Edmonton AB Canada

3d transmission over unreliable networks needs to take into account the possibility of packet loss. In this work we describe a perceptually motivated strategy for joint transmission of texture and mesh over unreliable networks. The approach is described initially considering regular mesh structure, to show the utility of optimizing the texture-mesh tradeoff. In order to generalize our approach to arbitrary meshes we consider stripification of the mesh, combined with a strategy that does not need texture or vertex packets to be re-transmitted. Only the valence (connectivity) packets need to be re-transmitted; however, storage of valence information requires only 10% space compared to vertices and even less compared to photo-realistic texture. Thus, only less than 5% of the packets may need to be re-transmitted in the worst case to allow our algorithm to successfully reconstruct an acceptable object under severe packet loss. Results showing the implementation of the proposed approach are described.

关键词： Propagation losses Wireless mesh networks Wireless application protocol Interpolation degradation Computer networks Costs Color Geometry Humans

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Motion Editing in 3d Video database

Motion Editing in 3D Video Database

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international symposium on 3d data processing visualization and transmission

作者： Jianfeng Xu Toshihiko Yamasaki Kiyoharu Aizawa Department of Electronic Engineering University of Tokyo Chiba Japan Department of Frontier Informatics University of Tokyo Kashiwa Chiba Japan The University of Tokyo Japan

As the next generation of media, 3d video is attracting increased attention. 3d video is a sequence of three dimensional mesh models, captured and generated for a real dynamic object. In this paper, we present a simple framework of motion editing in 3d video database to re-use 3d video data. Our system is composed of two modules. In the first module, a motion database is automatically set up from original 3d video sequences off-line by analyzing the feature vectors of each frame. It is observed that our original 3d video sequences have a two-level temporal structure. A fine-to-coarse method is proposed to extract such a structure. 3d video is segmented into the fine-level structure by a three reference frame strategy and then is clustered into the coarse-level structure. In the second module, users can synthesize the motions to edit a new 3d video sequence online. A cost function is optimized to transit between two motions with the users' requirements. All the algorithms in the system are based on the analysis in feature vector space and the edited 3d video sequence is played using OpenGL.

关键词： Video sequences Humans Spatial databases Mesh generation Cameras Shape data engineering Informatics Motion analysis Cost function

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Range Image Registration Based on Circular Features

Range Image Registration Based on Circular Features

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international symposium on 3d data processing visualization and transmission

作者： Cecilia Chao Chen Ioannis Stamos Department of Computer Science CUNY New York NY USA

Range sensing technology allows the photo-realistic modeling of large-scale scenes, such as urban structures. A major bottleneck in the process of 3d scene acquisition is the automated registration of a large number of geometrically complex 3d range scans in a common frame of reference. The generated 3d representations, after automated registration, are useful for urban planning, historical preservation, or virtual reality applications. Man-made urban scenes provide an abundance of linear features that can be used for the solution of the problem. Many scenes though require the utilization of non-linear primitives. This paper provides a solution of the registration problem based on the robust detection and matching of circular features from the range data sets. We present results from experiments with complex range scans from the interior of a large-scale landmark urban structure (Grand Central Terminal, NYC), where traditional methods would fail. This work is part of a larger range registration system that is based on extracted features of multiple geometric types.

关键词： Image registration Layout Feature extraction Image edge detection Large-scale systems Shape Iterative closest point algorithm Computer science Robustness data mining

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3d from Line Segments in Two Poorly-Textured, Uncalibrated Images

3D from Line Segments in Two Poorly-Textured, Uncalibrated I...

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international symposium on 3d data processing visualization and transmission

作者： Herbert Bay Andreas Ess Alexander Neubeck Luc Van Gool Computer Vision Laboratory ETH Zurich Zurich Switzerland

This paper addresses the problem of camera self-calibration, bundle adjustment and 3d reconstruction from line segments in two images of poorly-textured indoor scenes. First, we generate line segment correspondences, using an extended version of our previously proposed matching scheme. The first main contribution is a new method to identify polyhedral junctions resulting from the intersections of the line segments. At the same time, the images are segmented into planar polygons. This is done using an algorithm based on a binary space partitioning (BSP) tree. The junctions are matched end points of the detected line segments and hence can be used to obtain the epipolar geometry. The essential matrix is considered for metric camera calibration. For better stability, the second main contribution consists in a bundle adjustment on the line segments and the camera parameters that reduces the number of unknowns by a maximum flow algorithm. Finally, a piecewise-planar 3d reconstruction is computed based on the segmentation of the BSP tree. The system's performance is tested on some challenging examples.

关键词： Image segmentation Cameras Image reconstruction Layout Partitioning algorithms Geometry transmission line matrix methods Calibration Stability System performance

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Visual Hull Construction in the Presence of Partial Occlusion

Visual Hull Construction in the Presence of Partial Occlusio...

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international symposium on 3d data processing visualization and transmission

作者： Li Guan Sudipta Sinha Jean-Sebastien Franco Marc Pollefeys Department of Computer Science University of North Carolina Chapel Hill Chapel Hill NC USA

In this paper, we propose a visual hull algorithm, which guarantees a correct construction even in the presence of partial occlusion, while "correct" here means that the real shape is located inside the visual hull. The algorithm is based on a new idea of the "extended silhouette", which requires the silhouette from background subtraction and the "occlusion mask" of the same view. In order to prepare the occlusion mask, we also propose a novel concept of "effective boundary" of moving foreground objects in a video obtained from a static camera. The accumulation of the effective boundary through time automatically gives robust occluder boundaries. We theoretically prove that our algorithm deterministically computes the tightest, correct visual hull in the presence of occlusion. Both synthetic and real examples are given as a demonstration of the correctness of the algorithm. Finally we analyze that this new algorithm is still within the time complexity of the traditional method.

关键词： Shape Cameras Computer science Robustness Algorithm design and analysis Reconstruction algorithms Layout data processing data visualization Spatiotemporal phenomena

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