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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111-120 订阅

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Reconstructing a 3d Line from a Single Catadioptric Image

Reconstructing a 3D Line from a Single Catadioptric Image

引用

international symposium on 3d data processing visualization and transmission

作者： douglas Lanman Megan Wachs Gabriel Taubin Fernando Cukierman Brown University Providence RI USA University of Stanford Stanford CA USA University of Buenos Aires Buenos Aires Argentina

This paper demonstrates that, for axial non-central optical systems, the equation of a 3d line can be estimated using only four points extracted from a single image of the line. This result, which is a direct consequence of the lack of vantage point, follows from a classic result in enumerative geometry: there are exactly two lines in 3-space which intersect four given lines in general position. We present a simple algorithm to reconstruct the equation of a 3d line from four image points. This algorithm is based on computing the Singular Value decomposition (SVd) of the matrix of Plucker coordinates of the four corresponding rays. We evaluate the conditions for which the reconstruction fails, such as when the four rays are nearly coplanar. Preliminary experimental results using a spherical catadioptric camera are presented. We conclude by discussing the limitations imposed by poor calibration and numerical errors on the proposed reconstruction algorithm.

关键词： Image reconstruction Cameras Mirrors Calibration Stereo image processing Equations Reconstruction algorithms Algorithm design and analysis Geometrical optics Singular value decomposition

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Spherical Catadioptric Arrays: Construction, Multi-View Geometry, and Calibration

Spherical Catadioptric Arrays: Construction, Multi-View Geom...

引用

international symposium on 3d data processing visualization and transmission

作者： douglas Lanman daniel Crispell Megan Wachs Gabriel Taubin Brown University Providence RI USA University of Stanford Stanford CA USA

This paper introduces a novel imaging system composed of an array of spherical mirrors and a single high-resolution digital camera. We describe the mechanical design and construction of a prototype, analyze the geometry of image formation, present a tailored calibration algorithm, and discuss the effect that design decisions had on the calibration routine. This system is presented as a unique platform for the development of efficient multi-view imaging algorithms which exploit the combined properties of camera arrays and non-central projection catadioptric systems. Initial target applications include data acquisition for image-based rendering and 3d scene reconstruction. The main advantages of the proposed system include: a relatively simple calibration procedure, a wide field of view, and a single imaging sensor which eliminates the need for color calibration and guarantees time synchronization.

关键词： Geometry Calibration Algorithm design and analysis High-resolution imaging Mirrors digital cameras Prototypes Image analysis data acquisition Rendering (computer graphics)

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

Efficient Constraint Evaluation Algorithms for Hierarchical ...

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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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Multi-View Multi-Exposure Stereo

Multi-View Multi-Exposure Stereo

引用

international symposium on 3d data processing visualization and transmission

作者： Alejandro Troccoli Sing Bing Kang Steve Seitz Columbia University New York NY USA Microsoft Research Limited Redmond WA USA University of Washington Seattle WA USA

Multi-view stereo algorithms typically rely on same-exposure images as inputs due to the brightness constancy assumption. While state-of-the-art depth results are excellent, they do not produce high-dynamic range textures required for high-quality view reconstruction. In this paper, we propose a technique that adapts multi-view stereo for different exposure inputs to simultaneously recover reliable dense depth and high dynamic range textures. In our technique, we use an exposure-invariant similarity statistic to establish correspondences, through which we robustly extract the camera radiometric response function and the image exposures. This enables us to then convert all images to radiance space and selectively use the radiance data for dense depth and high dynamic range texture recovery. We show results for synthetic and real scenes.

关键词： dynamic range Brightness Image reconstruction Statistics Robustness data mining Cameras Radiometry Image converters Layout

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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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Multiview 3d Tracking with an Incrementally Constructed 3d Model

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

引用

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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Extracting 3d Shape Features in discrete Scale-Space

Extracting 3D Shape Features in Discrete Scale-Space

引用

international symposium on 3d data processing visualization and transmission

作者： John Novatnack Ko Nishino Ali Shokoufandeh Department of Computer Science Drexel University USA

3d shape features are inherently scale-dependent. For instance, on a 3d model of a human body, the top of the head and a fingertip can both be detected as corner points, however, at entirely different scales. In this paper, we present a method for extracting and integrating 3d shape features in the discrete scale-space of a triangular mesh model. We first parameterize the surface of the mesh model on a 2d plane and then construct a dense surface normal map. In general, the parametrization is not isometric. To account for this, we compute the relative stretch of the original edge lengths. Next, we compute a dense distortion map which is used to approximate the geodesic distances on the normal map. Then, we construct a discrete scale-space of the original 3d shape by successively convolving the normal map with distortion-adapted Gaussian kernels of increasing standard deviation. We derive corner and edge detectors to extract 3d features at each scale in the discrete scale-space. Furthermore, we show how to combine the detector responses from different scales to form a unified representation of the 3d features.

关键词： Feature extraction Geometry Shape measurement Biological system modeling Geophysics computing detectors Filters Computer science Humans Head

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