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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121-130 订阅

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Illumination Insensitive Model-Based 3d Object Tracking and Texture Refinement

Illumination Insensitive Model-Based 3D Object Tracking and ...

引用

international symposium on 3d data processing visualization and transmission

作者： Hua Yang Greg Welch Marc Pollefeys Computer Science Department University of North Carolina Chapel Hill Chapel Hill NC USA

A common approach to model-based tracking is to use a model of the object to predict what will be observed, and then to compare that with real observations. For methods that make use of the object's photometric properties (appearance) in their measurements, illumination inconsistencies between the modeled and actual scene can cause tracking problems. In this paper we address one case: model-based tracking of Lambertian objects under directional light sources. We present an iterative optimization method that uses a Kalman filter to simultaneously refine estimates of the object motion, the illumination, and the model texture. We model the illumination variance between the real and predicted observation using the intensity ratios of corresponding surface points, which we then use to make model-based image predictions consistent with the real lighting. To demonstrate the effectiveness of our method we present experimental results using both synthetic (controlled) and real image sequences.

关键词： Lighting Predictive models Image sequences Photometry Layout Solid modeling Graphics Light sources data mining Optical computing

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Hierarchical Representation of Virtual Cities for Progressive transmission over Networks

Hierarchical Representation of Virtual Cities for Progressiv...

引用

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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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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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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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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Motion Parallax without Motion Compensation in 3d Cluttered Scenes

Motion Parallax without Motion Compensation in 3D Cluttered ...

引用

international symposium on 3d data processing visualization and transmission

作者： M.S. Langer V. Chapdelaine-Couture R. Mann S. Roy School of Computer Science McGill University Montreal QUE Canada School of Computer Science University of Waterloo Waterloo ONT Canada University of Montreal DIRO Montreal QUE Canada

When an observer moves through a rigid 3d scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between image velocity vectors is the direction of motion parallax. This direction vector points towards the observer's translation direction. Hence estimates of the direction of motion parallax are useful for estimating the observer's translation direction. Standard ways to compute the direction of motion parallax either rely on precomputed optical flow, or rely on motion compensation to remove the local image shift caused by observer rotation. Here we present a simple Fourier-based method for estimating the direction of motion parallax directly, that does not require optical flow and motion compensation. The method is real-time and performs accurately for image regions in which multiple motions are present.

关键词： Motion compensation Layout Motion estimation Image motion analysis Optical computing Principal component analysis Computer science Frequency domain analysis

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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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Self-Calibration of Multiple Laser Planes for 3d Scene Reconstruction

Self-Calibration of Multiple Laser Planes for 3D Scene Recon...

引用

international symposium on 3d data processing visualization and transmission

作者： Ryo Furukawa Hiroshi Kawasaki Faculty of Information Sciences Hiroshima City University Japan Faculty of Information Engineering Saitama University Japan

Self-calibration is one of the most active issues concerning vision-based 3d measurements. However, in the case of the light sectioning method, there has been little research conducted on self-calibration techniques. In this paper, we study the problem of self-calibration for an active vision system which uses line lasers and a single camera. The problem can be defined as the estimation of multiple laser planes from the curves of laser reflections observed from a sequence of images captured by a single camera. The constraints of the problem can be obtained from observed intersection points between the curves. In this condition, the problem is formulated as simultaneous polynomial equations, in which the number of equations is larger than the number of variables. Approximated solutions of the equations can be computed by using Grobner bases. By refining them using nonlinear optimization, the final result can be obtained. We developed an actual 3d measurement system using the proposed method, which consists of only a laser projector with two line lasers and a single camera. Users are just required to move the projector freely so that the projected lines sweep across the surface of the scene to get the 3d shape.

关键词： Layout Cameras Calibration Nonlinear equations Optical reflection Polynomials Shape Parameter estimation Stereo vision Laser theory

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Contour-Based Object detection in Range Images

Contour-Based Object Detection in Range Images

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international symposium on 3d data processing visualization and transmission

作者： Stefan Stiene Kai Lingemann Andreas Nuchter Joachim Hertzberg Knowledge-Based Systems Research Group University of Osnabrück Osnabruck Germany

This paper presents a novel object recognition approach based on range images. due to its insensitivity to illumination, range data is well suited for reliable silhouette extraction. Silhouette or contour descriptions are good sources of information for object recognition. We propose a complete object recognition system, based on a 3d laser scanner, reliable contour extraction with floor interpretation, feature extraction using a new, fast eigen-CSS method, and a supervised learning algorithm. The recognition system was successfully tested on range images acquired with a mobile robot, and the results are compared to standard techniques, i.e., geometric features, Hu and Zernike moments, the border signature method and the angular radial transformation. An evaluation using the receiver operating characteristic analysis completes this paper. The eigen-CSS method has proved to be comparable in detection performance to the top competitors, yet faster than the best one by an order of magnitude in feature extraction time.

关键词： Object detection Object recognition data mining Feature extraction Lighting Information resources Supervised learning Image recognition System testing Mobile robots

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