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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

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Efficient computation of adaptive threshold surfaces for image binarization

Efficient computation of adaptive threshold surfaces for ima...

引用

conference on computer vision and pattern recognition (cvpr)

作者： I. Blayvas A. Bruckstein R. Kimmel Computer Science Department Technion-Israel Institute of Technology Haifa Israel

ISBN: (纸本)0769512720

The problem of binarization of gray level images acquired under nonuniform illumination is reconsidered. Yanowitz and Bruckstein (1989) proposed to use an adaptive threshold surface, determined by interpolation of the image gray levels at points where the image gradient is high. The rationale is that a high image gradient indicates probable object edges, and there the image values are between the object and background gray levels. The threshold surface was determined by successive overrelaxation as the solution of the Laplace equation. This work proposes a different method to determine an adaptive threshold surface. In this new method, inspired by multiresolution approximation, the threshold surface is constructed with considerably lower computational complexity and is smooth, yielding faster image binarizations and better visual performance.

关键词： Laplace equations Lighting Computational complexity Pixel computer science Interpolation Relaxation methods Degradation Surface waves

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Outlier detection in video sequences under affine projection

Outlier detection in video sequences under affine projection

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conference on computer vision and pattern recognition (cvpr)

作者： D.Q. Huynh A. Heyden School of Information Technology Murdoch University Perth WA Australia Centre for Mathematical Sciences Lund University Lund Sweden

ISBN: (纸本)0769512720

A novel robust method for outlier detection in structure and motion recovery for affine cameras is presented. It is an extension of the well-known Tomasi-Kanade factorization technique (C. Tomasi T. Kanade, 1992) designed to handle outliers. It can also be seen as an importation of the LMedS technique or RANSAC into the factorization framework. Based on the computation of distances between subspaces, it relates closely with the subspace-based factorization methods for the perspective case presented by G. Sparr (1996) and others and the subspace-based-factorization for affine cameras with missing data by D. Jacobs (1997). Key features of the method presented are its ability to compare different subspaces and the complete automation of the detection and elimination of outliers. Its performance and effectiveness are demonstrated by experiments involving simulated and real video sequences.

关键词： Video sequences Cameras Motion estimation Jacobian matrices Motion detection computer vision Motion measurement Information technology Australia Robustness

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Real time 3D template matching

Real time 3D template matching

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conference on computer vision and pattern recognition (cvpr)

作者： F. Jurie M. Dhome LASMEA CNRS UMR 6602 Université Blaise Pascal Aubiere France

ISBN: (纸本)0769512720

One of the most popular methods to extract useful information from an image sequence is the template matching approach. In this well known method the tracking of a certain feature or target over time is based on the comparison of the content of each image with a sample template. We propose a 3D template matching algorithm that is able to track targets corresponding to the projection of 3D surfaces. With only a few hundred subtractions and multiplications per frame, our algorithm provides, in real time, an estimation of the 3D surface pose. The key idea is to compute the difference between the current image content and the visual aspect of the target under the predicted spatial attitude. This difference image is converted into corrections on the 3D location parameters.

关键词： Target tracking Predictive models Robustness Image reconstruction Image sequences Image converters computer vision Application software Image segmentation Uncertainty

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Dynamic Bayesian framework for extracting temporal structure in video

Dynamic Bayesian framework for extracting temporal structure...

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conference on computer vision and pattern recognition (cvpr)

作者： A. Mittal Loong Fah Cheong Leung Tung Sing Department of Computer Science National University of Singapore Singapore Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)0769512720

In this paper, we develop the concept of descriptors based on perceptual-level motion features such as time-to-collision, shot transition and temporal motion and it is shown that by including them the representational level of the video classes is significantly enhanced, e.g. violence could be detected. The temporal context cues, which had been largely neglected by present content-based retrieval (CBR) systems, are integrated into the framework. A dynamic Bayesian framework for the CBR systems which can learn the temporal structure through the fusion of all the features is designed The experimental results for more than 4 hours of videos are presented for a number of key applications like sequence identifier, highlight extraction for sports, and detecting climax or violence.

关键词： Bayesian methods Content based retrieval Indexing Jacobian matrices Motion measurement Layout Context modeling computer science Gunshot detection systems Motion detection

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Critical configurations for n-view projective reconstruction

Critical configurations for n-view projective reconstruction

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conference on computer vision and pattern recognition (cvpr)

作者： F. Kahl R. Hartley K. Astrom Centre for Mathematical Sciences Lund University Lund Sweden RSISE Australia National University Canberra Australia

ISBN: (纸本)0769512720

In this paper we give a characterization of critical configurations for projective reconstruction with any number of points and views. A set of cameras and points is said to be critical if the projected image points are insufficient to determine the placement of the points and the cameras uniquely, up to a projective transformation. For two views, the critical configurations are well-known. In this paper it is shown that a configuration of n 3 cameras and in points all lying on the intersection of two distinct ruled quadrics is critical. In distinction to the two-view case, which in general allows two alternative solutions, there is a family of ambiguous reconstructions for the n-view case. As a partial converse, it Is shown that for any critical configuration, all the points lie on the intersection of two ruled quadrics.

关键词： Cameras Image reconstruction Surface reconstruction Image converters computer vision Shape Inverse problems Extraterrestrial measurements Surface treatment Terminology

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Rectifying transformations that minimize resampling effects

Rectifying transformations that minimize resampling effects

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conference on computer vision and pattern recognition (cvpr)

作者： J. Gluckman S.K. Nayar Department of Computer Science Polytechnic University Brooklyn NY USA Department of Computer Science Columbia University New York NY USA

ISBN: (纸本)0769512720

Image rectification is the process of warping a pair of stereo images in order to align the epipolar lines with the scan-lines of the images. Once a pair of images is rectified, stereo matching can be implemented in an efficient manner. Given the epipolar geometry, it is straightforward to define a rectifying transformation, however, many transformations will lead to unwanted image distortions. In this paper, we present a novel method for stereo rectification that determines the transformation that minimizes the effects of resampling that can impede stereo matching. The effects we seek to minimize are the loss of pixels due to under-sampling and the creation of new pixels due to over-sampling. To minimize these effects we parameterize the family of rectification transformations and solve for the one that minimizes the change in local area integrated over the area of the images.

关键词： Cameras computer science Impedance Computational geometry Joining processes Calibration

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Precise omnidirectional camera calibration

Precise omnidirectional camera calibration

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conference on computer vision and pattern recognition (cvpr)

作者： D. Strelow J. Mishler D. Koes S. Singh Carnegie Mellon University USA

ISBN: (纸本)0769512720

Recent omnidirectional camera designs aim a conventional camera at a mirror that expands the camera's field of view. This wide view is ideal for three-dimensional vision tasks such as motion estimation and obstacle detection, but these applications require an accurate model of the imaging process. We present a full model of the imaging process, which includes the rotation and translation between the camera and mirror, and an algorithm that determines this relative position from observations of known points in a single image. We present tests of the model and of the calibration procedure for various amounts of misalignment between the mirror and camera. These tests show that the algorithm recovers the correct relative position, and that by using the full model, accurate shape-from-motion and stereo matching are possible even if the camera and mirror are severely misaligned.

关键词： Cameras Calibration Mirrors Testing Stereo vision Motion estimation Motion detection Software algorithms Application software Error correction

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Evolving image segmentations for the analysis of video sequences

Evolving image segmentations for the analysis of video seque...

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conference on computer vision and pattern recognition (cvpr)

作者： A.A. Clark B.T. Thomas Department of Computer Science University of Bristol Bristol UK

ISBN: (纸本)0769512720

This paper concerns the segmentation of successive frames of a video sequence. Traditional methods, treating each frame in isolation, are computationally expensive, ignore potentially useful information derived from previous frames, and can lead to instabilities over the sequence. The approach developed here, based on the Region Competition algorithm (Zhu and Yuille, ieee Trans. PAMI, 1996), employs a mesh of active contour primitives supervised by an MDL energy criterion. Temporal extensions, namely Boundary Momentum, Region Memory, and Optical Boundary Flow, are developed to ease the transition between successive frames. Further enhancements are made by incorporating mechanisms to accommodate the topological discontinuities that can arise during the sequence. The algorithm is demonstrated using a number of synthetic and real video sequences and is shown to provide an efficient method of segmentation which encourages stability across frames and preserves the quality of the original segmentation over the sequence.

关键词： Image segmentation Image analysis Image sequence analysis Video sequences Active contours Partitioning algorithms computer science Optical films Image motion analysis Stability

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Recovering the geometry of single axis motions by conic fitting

Recovering the geometry of single axis motions by conic fitt...

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conference on computer vision and pattern recognition (cvpr)

作者： Guang Jiang Hung-tat Tsui Long Quan Shang-qian Liu Department of Electronic Engineering Chinese University of Hong Kong New Territories Hong Kong China School of Technical Physics Xidian University Xi'an China Department of Computer Science Hong Kong University of Science and Technology Hong Kong China

ISBN: (纸本)0769512720

In this paper, we propose a new approach for recovering 3D geometry from uncalibrated and unknown rotation angles of single axis motions. Unlike previous approaches, the computation of the trifocal tensor is not required. The new approach is based on fitting a conic to the corresponding points in different images of the same space point. It is then shown that the essential geometry of single axis motion is encoded by a conic. Since we are determining only 5 parameters from N views instead of 18 parameters from a subsequence of 3 views, our approach is much more simple and robust. The experiments on a real image sequence demonstrate the accuracy and robustness of the new algorithm.

关键词： Tensile stress Cameras Robustness Image reconstruction computer science Physics Computational geometry Image sequences computer vision computer graphics

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Model-free optimal trajectories in the image space: application to robot vision control

Model-free optimal trajectories in the image space: applicat...

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conference on computer vision and pattern recognition (cvpr)

作者： Y. Mezouar F. Chaumette IRISA/INRIA de Rennes Rennes France

ISBN: (纸本)0769512720

Since image-based servoing is a local control solution, it requires the definition of intermediate subgoals in the sensor space when the initial robot position is far from the desired one. This paper addresses the problem of generating and tracking realistic and optimal smooth trajectories of complex features in the image space. The model of the observed target and the internal camera parameters are assumed to be unknown. First a closed-form smooth collineation path (related to a reference plane) between given starts and end-points is obtained. This path is generated in order to correspond to an optimal camera path. The trajectories of the image features (corresponding to points belonging to or not belonging to the reference plane) are then derived and tracked using image based control.

关键词： Orbital robotics Robot vision systems Optimal control Robot control Cameras Path planning Trajectory Coordinate measuring machines Pixel Target tracking

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