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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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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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Linking Feature Lines on 3d Triangle Meshes with Artificial Potential Fields

Linking Feature Lines on 3D Triangle Meshes with Artificial ...

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international symposium on 3d data processing visualization and transmission

作者： d.L. Page A.F. Koschan M.A. Abidi Imaging Robotics and Intelligent Systems Laboratory University of Tennessee Knoxville TN USA

We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3d triangle meshes derived from multiple range scans of an object, and the features of interest are curvature extrema on the object's surface. A problem that arises with detecting these features is that results from standard algorithms are often incomplete in that feature lines are broken and discontinuous. Our novel linking algorithm closes these broken feature lines to form a more complete feature description. The main contribution of this algorithm is the use of artificial potential fields to govern the linking process. In this paper, we discuss the feature detection process itself and then define the linking procedure in the context of potential fields. We present results for both synthetic and scanned models.

关键词： Joining processes Surface morphology Computer vision Intelligent robots Surface texture Intelligent systems Artificial intelligence Laboratories Counting circuits Focusing

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Extracting 3d Shape Features in discrete Scale-Space

Extracting 3D Shape Features in Discrete Scale-Space

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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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deformable Mesh Model for Complex Multi-Object 3d Motion Estimation from Multi-Viewpoint Video

Deformable Mesh Model for Complex Multi-Object 3D Motion Est...

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international symposium on 3d data processing visualization and transmission

作者： Shohei Nobuhara Takashi Matsuyama Graduate School of Informatics Kyoto University Kyoto Japan

We propose a new algorithm using deformable mesh model for complex 3d motion estimation of multiple objects from multi-viewpoint video. In this paper, we define "complex motion" as motion which includes global change of the object shape topology. In complex motion, a part of the object may touch the other parts. To manage this effect, we introduce (1) "repulsive force" into deformable mesh model for simple motion estimation which integrates texture and silhouette information into unified computation scheme, and (2) efficient collision detection algorithm for deformable mesh model. Our deformable mesh model with repulsive force keeps hidden, collided surfaces to be touched each other, and gives dense, non-rigid complex 3d motion of the object. Some experimental results show that our deformation model can estimate motions of multiple objects and the object's motion with time-varying global topology, and gives topologically-consistent mesh models which can be compressed efficiently by conventional inter- frame 3d data compression algorithms and be used for 3d motion analysis.

关键词： deformable models Motion estimation Shape Topology Motion analysis Humans data compression Euclidean distance Informatics detection algorithms

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

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

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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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A 3d Outdoor Scene Scanner Based on a Night-Vision Range-Gated Active Imaging System

A 3D Outdoor Scene Scanner Based on a Night-Vision Range-Gat...

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international symposium on 3d data processing visualization and transmission

作者： david Monnin Armin L. Schneider Frank Christnacher Yves Lutz French German Research Institute of Saint Louis Saint Louis France

We present a 3d outdoor scene scanner for the acquisition of kilometers-deep scenes in night conditions. Its imaging system is based on a compact and low-cost pulsed laser illuminator and a light-intensifier equipped CCd camera. By precisely synchronizing both the illuminator and the camera shutter, it is possible to acquire "slices" of the scene at specific known distances. We show that even with large laser pulses and without megahertz-capable electronics, the third dimension can be recovered for the whole range of the scene by processing only two images acquired in specific conditions. As the pixel intensities of the images produced by active imaging systems vary with the square of the range, and due to the limited dynamics of image sensors, scanning long-range scenes with shorter "slices" allows the camera gain to be adjusted with respect to the range and the accuracy to be enhanced. The imaging system as well as the different image processing steps are detailed in this paper and an example of typical results is given.

关键词： Layout Cameras Optical pulses Optical imaging High-resolution imaging Laser radar Infrared imaging Image resolution Pulse modulation Charge coupled devices

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3d Skeleton-Based Body Pose Recovery

3D Skeleton-Based Body Pose Recovery

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

作者： Clement Menier Emond Boyer Bruno Raffin GRAVIR-INRIA Rhône-Alpes Saint Ismier France

This paper presents an approach to recover body motions from multiple views using a 3d skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints, and computes, for each frame, the skeleton pose which best fit the body pose. Skeletal models encode mostly motion information and allows therefore to separate motion estimation from shape estimation for which solutions exist;And focusing on motion parameters significantly reduces the dependency on specific body shapes, yielding thus more flexible solutions for body motion capture. However, a problem generally faced with skeletal models is to find adequate measurements with which to fit the model. In this paper, we propose to use the medial axis of the body shape to this purpose. Such medial axis can be estimated from the visual hull, a shape approximation which is easily obtained from the silhouette information. Experiments show that this approach is robust to several perturbations in the model or in the input data, and also allows fast body motions or, equivalently, important motions between consecutive frames.

关键词： Shape Biological system modeling Robustness Motion estimation Humans Solid modeling Skeleton Tracking Arm data mining

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Silhouette fusion of vascular and anatomical volume data

Silhouette fusion of vascular and anatomical volume data

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2006 3rd IEEE international symposium on Biomedical Imaging: From Nano to Macro

作者： Ruijters, daniel Babic, drazenko Ter Haar Romeny, Bart M. Suetens, Paul X-Ray Predevelopment Philips Medical Systems Veenpluis 6 5680DA Best Netherlands Biomedical Engineering Image Analysis and Interpretation Technische Universiteit Eindhoven Den Dolech 2 5600MB Eindhoven Netherlands Medical Image Computing Katholieke Universiteit Leuven Universitair Ziekenhuis Gasthuisberg Herestraat 49 B-3000 Leuven Belgium

ISBN: (纸本)0780395778

In this paper we present a novel method for the combined hybrid visualization of the cerebral blood vessels, segmented from a 3d rotational angiography dataset, and datasets containing the soft tissue anatomy, such as CT or MR. This visualization method is targeted at the use in interventional treatment of vascular pathologies and endovascular treatment of the neoplastic tissue. Our method distinguishes itself since it offers the possibility to provide the clinician with a maximum amount of contextual information about the spatial relationship and topology of both datasets, without compromising the ease of use and interpretation. Further it is discussed how an interactive visualization can be implemented on off-the-shelf graphics hardware, and it is indicated which clinical benefits can be achieved. © 2006 IEEE.

关键词： Blood vessels

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Statistical Inference of Biological Structure and Point Spread Functions in 3d Microscopy

Statistical Inference of Biological Structure and Point Spre...

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international symposium on 3d data processing visualization and transmission

作者： Joseph Schlecht Kobus Barnard Barry Pryor Computer Science Department University of Arizona Tucson Tucson AZ USA Plant Sciences Department University of Arizona Tucson Tucson AZ USA

We present a novel method for detecting and quantifying 3d structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastically generated by an underlying model for biological specimen and the effects of the imaging system. The method simultaneously fits a model for proposed structure and the imaging system's parameters, which include a model of the point spread function. We demonstrate our approach by detecting spores in image stacks of Alternaria, a microscopic genus of fungus. The spores are modeled as opaque ellipsoids and fit to the data using statistical inference. Since the number of spores in the data is not known, model selection is incorporated into the fitting process. Thus, we develop a reversible jump Markov chain Monte Carlo sampler to explore the parameter space. Our results show that simultaneous statistical inference of specimen and imaging models is useful for quantifying biological structures in 3d microscopic images. In addition, we show that inferring a model of the imaging system improves the overall fit of the specimen model to the data.

关键词： Biological system modeling Fungi Optical microscopy Optical imaging Biomedical optical imaging Geometrical optics Solid modeling Monte Carlo methods data analysis Biology

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Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision

Gaze Tracking by Using Factorized Likelihoods Particle Filte...

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international symposium on 3d data processing visualization and transmission

作者： Erik Pogalin Andre Redert Ioannis Patras Emile A. Hendriks Infor. and Communication Theory Group Delft University of Technnology Delft Netherlands Digital Signal Processing Group Philips Research Laboratories Eindhoven Netherlands Computer Vision and Patt. Recog. Group University of York York UK

This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filtering algorithm using factorized likelihoods to estimate the 3d head pose. Next the 3d gaze vector is calculated by estimating the eyeball center and the cornea center of both eyes. For the intended application of visual perception research, we also propose a new screen registration scheme to accurately locate a planar screen in world coordinates within 2 mm error. We combine the 3d screen location with the 3d gaze vectors from both eyes to establish a point of focus on the screen. The experimental results indicate that an average error of the gaze direction of about 4.6deg can be achieved and an average error of about 4 mm for the focus point location at a viewing distance of 50 cm.

关键词： Particle tracking Stereo vision Cameras Head Cornea Hardware Active appearance model Facial features Filtering algorithms Eyes

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