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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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Multi-View Multi-Exposure Stereo

Multi-View Multi-Exposure Stereo

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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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Towards On-Line digital doubles

Towards On-Line Digital Doubles

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international symposium on 3d data processing visualization and transmission

作者： Andreas Griesser Nico Cornelis Luc Van Gool D-ITET / Computer Vision Laboratory Swiss Federal Institute of Technology Zurich Switzerland ESAT / VISICS Katholieke Universiteit Leuven Leuven Belgium

We present a modular system for real-time 3d-scanning of human bodies under motion. The high-resolution shape and colour appearance is captured by several scanning units positioned around the object of interest. Each of these units performs a foreground-background segmentation and computes a valid depth-range for the spatially neighbouring units. Multiple depth-ranges are combined in a visual hull representation, which limits the search-range for the 3d-reconstruction. depth-estimation is based on a hierarchical multi-view-stereo plane sweep approach. Robustness and accuracy is increased by incorporating imperceptible infrared illumination as well as adding local pixel gradient information. All parts of the processing pipeline, involving camera color conversions, segmentation, depth-range computation, visual-hull generation, lossless image compression, network transfer of the infrared and colour images, and the plane sweep algorithm, are implemented on the GPU and highly optimized for speed, allowing scanning times of less than 40 ms per frame. Experimental results demonstrate the applicability of our system to the creation of high-density on-line digital doubles.

关键词： Color Real time systems Humans Shape Robustness Lighting Pipelines Cameras Image converters Image segmentation

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Object Centered Stereo: displacement Map Estimation Using Texture and Shading

Object Centered Stereo: Displacement Map Estimation Using Te...

引用

international symposium on 3d data processing visualization and transmission

作者： Neil Birkbeck dana Cobzas Martin Jagersand Computing Science University of Alberta Edmonton AB Canada

We consider the problem of recovering 3d surface displacements using both shading and multi-view stereo cues. In contrast to traditional disparity or depth map representations, the object centered displacement map representation enables the recovery of complete 3d objects while also ensuring the reconstruction is not biased towards a particular image. Although displacement mapping requires a base surface, this base mesh is easily obtained using traditional computer vision techniques (e.g., shape-from-silhouette or structure-from-motion). Our method exploits shading variation due to object rotation relative to the light source, allowing the recovery of displacements in both textured and textureless regions in a common framework. In particular, shading cues are integrated into a multi-view stereo photo-consistency function through the surface normals that are implied by the displacement map. The analytic gradient of this photo-consistency function is used to drive a multi-resolution conjugate gradient optimization. We demonstrate the geometric quality of the reconstructed displacements on several example objects including a human face.

关键词： Surface reconstruction Image reconstruction Stereo vision Surface texture Stereo image processing Computer vision Light sources Calibration Reconstruction algorithms Cost function

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A shape analysis method to detect dendritic spine in 3d optical microscopy image

A shape analysis method to detect dendritic spine in 3D opti...

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3rd IEEE international symposium on Biomedical Imaging

作者： Xu, Xiaoyin Cheng, Jie Witt, Rochelle M. Sabatini, Bernardo L. Wong, Stephen T. C. Harvard Med Sch Harvard Ctr Neurodegenerat & Repair Boston MA 02115 USA Brigham & Womens Hosp Dept Radiol Boston MA 02115 USA Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA Harvard Med Sch Dept Neurobiol Boston MA 02115 USA

ISBN: (纸本)9780780395763

dendritic spines play an important role in synaptic transmission. Spines are small protrusions formed on the shafts of dendrites and they are manifest of many neurological conditions. Three dimensional images of dendrites and spines are obtained by confocal and two-photon laser scanning microscopy. We present an image processing method based on shape analysis to detect spines and separate spines from the dendrites for quantitative study. The method applies two grassfire procedures to first find the tips of spines and then reversely locate the boundary between spines and dendrites. The boundary is determined as the propagation front that undergoes the maximum change in plane area of the grassfire procedure. We use real data to demonstrate the performance of the method.

关键词： Neurology

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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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3d Modeling Using Planar Segments and Mesh Elements

3D Modeling Using Planar Segments and Mesh Elements

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international symposium on 3d data processing visualization and transmission

作者： Ioannis Stamos Gene Yu George Wolberg Siavash Zokai Department of Computer Science CUNY New York NY USA Department of Computer Science City College슠of New York New York NY USA Brainstorm Technology New York NY USA

Range sensing technology allows the photorealistic modeling of large-scale scenes, such as urban structures. The generated 3d representations, after automated registration, are useful for urban planning, historical preservation, or virtual reality applications. One major issue in 3d modeling of complex large-scale scenes is that the final result is a dense complicated mesh. Significant, in some cases manual, postprocessing (mesh simplification, hole filling) is required to make this representation usable by graphics or CAd applications. This paper presents a 3d modeling approach that models large planar scene areas of the scene with planar primitives (extracted via a segmentation pre-process), and non-planar areas with mesh primitives. In that respect, the final model is significantly compressed. Also, lines of intersection between neighboring planes are modeled as such. These steps bring the model closer to graphics/CAd applications. We present results from experiments with complex range scans from urban structures and from the interior of a large-scale landmark urban building (Grand Central Terminal, NYC).

关键词： Layout Image segmentation Large-scale systems Filling Laser modes Solid modeling Brain modeling Computer science Educational institutions Urban planning

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Efficient Sparse 3d Reconstruction by Space Sweeping

Efficient Sparse 3D Reconstruction by Space Sweeping

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international symposium on 3d data processing visualization and transmission

作者： H. Bischof K. Karner C. Zach J. Bauer VRVis Res. Center Graz

This paper introduces a feature based method for the fast generation of sparse 3d point clouds from multiple images with known pose. We extract sub-pixel edge elements (2d position plus associated orientation) and use a space sweeping scheme to compute the accurate 3d location of these edge features. Our approach relies mainly on the geometric properties of the extracted primitives and incorporates a robust uncertainty estimation to detect outliers. Epipolar constraints between views are used to narrow down the search space of potential candidates in the images. In order to improve the efficiency of spatial queries, for detecting edgels lying close to an epipolar line, we utilise a pairwise stereo rectification scheme. The detection and verification of tentative hypotheses is carried out in 3d-space, thus allowing to perform an event driven search mode. An uncertainty measure that models the location inaccuracies in the feature extraction process and errors introduced in the camera pose estimation stage allows to assign a likelihood value to each hypothesis. Optionally an image-based similarity measure can be used to verify the 3d hypotheses and to identify false positives. We perform experiments on a synthetic data set and on several real datasets. The results indicate that the proposed method yields accurate measurements on depth discontinuities and thus represents a complementary technique to standard dense matching approaches.

关键词： Image reconstruction Robustness Cameras Image edge detection Stereo vision Layout Clouds Feature extraction Computer vision Image matching

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Invariant High Level Reeb Graphs of 3d Polygonal Meshes

Invariant High Level Reeb Graphs of 3D Polygonal Meshes

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international symposium on 3d data processing visualization and transmission

作者： Julien Tierny Jean-Philippe Vandeborre Mohamed daoudi FOX-MIIRE Research Group LIFL (UMR USTL/CNRS 8022) France GET/INT France

Many applications in computer graphics need high level shape descriptions, in order to benefit from a global understanding of shapes. Topological approaches enable pertinent surface decompositions, providing structural descriptions of 3d polygonal meshes; but in practice, their use raises several difficulties. In this paper, we present a novel method for the construction of invariant high level Reeb graphs, topological entities that give a good overview of the shape structure. With this aim, we propose an accurate and straightforward feature point extraction algorithm for the computation of an invariant and meaningful quotient function. Moreover, we propose a new graph construction algorithm, based on an analysis of the connectivity evolutions of discrete level lines. This algorithm brings a practical solution for the suppression of non-significant critical points over piecewise continuous functions, providing meaningful Reeb graphs. Presented method gives accurate results, with satisfactory execution times and without input parameter. The geometrical invariance of resulting graphs and their robustness to variation in model pose and mesh sampling make them good candidates for several applications, like shape deformation (experimented in this paper), recognition, compression, indexing, etc.

关键词： Shape Application software Computer graphics Feature extraction Algorithm design and analysis Robustness Solid modeling deformable models Sampling methods Indexing

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High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and dynamic Programming

High-Quality Real-Time Stereo Using Adaptive Cost Aggregatio...

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international symposium on 3d data processing visualization and transmission

作者： Liang Wang Miao Liao Minglun Gong Ruigang Yang david Nister University of Kentucky Lexington KY USA Laurentian University Greater Sudbury ONT Canada

We present a stereo algorithm that achieves high quality results while maintaining real-time performance. The key idea is simple: we introduce an adaptive aggregation step in a dynamic-programming (dP) stereo framework. The per-pixel matching cost is aggregated in the vertical direction only. Compared to traditional dP, our approach reduces the typical "streaking" artifacts without the penalty of blurry object boundaries. Evaluation using the benchmark Middlebury stereo database shows that our approach is among the best (ranked first in the new evaluation system) for dP-based approaches. The performance gain mainly comes from a computationally expensive weighting scheme based on color and distance proximity. We utilize the vector processing capability and parallelism in commodity graphics hardware to speed up this process over two orders of magnitude. Over 50 million disparity evaluations per second (MdE/s)1 are achieved in our current implementation.

关键词： Costs dynamic programming Stereo vision Hardware Parallel processing Model driven engineering databases Performance gain Computer graphics Computer vision

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Histogram Matching for Camera Pose Neighbor Selection

Histogram Matching for Camera Pose Neighbor Selection

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international symposium on 3d data processing visualization and transmission

作者： Kevin L. Steele Parris K. Egbert Bryan S. Morse Department of Computer Science Brigham Young University Provo UT USA

A prerequisite to calibrated camera pose estimation is the construction of a camera neighborhood adjacency graph, a connected graph defining the pose neighbors of the camera set. Pose neighbors to a camera C are images containing sufficient overlap in image content with the image from C that they can be used to correctly estimate the pose of C using structure-from-motion techniques. In a video stream, the camera neighborhood adjacency graph is often a simple connected path; frame poses are only estimated relative to their immediate neighbors. We propose a novel method to build more complex camera adjacency graphs that are suitable for estimating the pose of large numbers of wide- and narrow-baseline images. We employ Content-Based Image Retrieval techniques to identify similar images likely to be graph neighbors. We also develop an optimization to improve graph accuracy that is based on an observation of common camera motions taken when photographing with the intent of structure-from-motion. Our results substantiate the use of our method for determining neighbors for pose estimation.

关键词： Histograms Cameras Streaming media Image retrieval Content based retrieval Image reconstruction visualization Computer science Computer vision Robustness

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