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Equivalence and efficiency of image alignment algorithms

Equivalence and efficiency of image alignment algorithms

引用

conference on computer vision and pattern recognition (cvpr)

作者： S. Baker I. Matthews The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)0769512720

There are two major formulations of image alignment using gradient descent. The first estimates an additive increment to the parameters (the additive approach), the second an incremental warp (the compositional approach). We first prove that these two formulations are equivalent. A very efficient algorithm was proposed by Hager and Belhumeur (1998) using the additive approach that unfortunately can only be applied to a very restricted class of warps. We show that using the compositional approach an equally efficient algorithm (the inverse compositional algorithm) can be derived that can be applied to any set of warps which form a group. While most warps used in computer vision form groups, there are a certain warps that do not. Perhaps most notable is the set of piecewise affine warps used in flexible appearance models (FAMs). We end this paper by extending the inverse compositional algorithm to apply to FAMs.

关键词： Approximation algorithms computer vision Jacobian matrices Active appearance model Robots Nonlinear optics Optical sensors Image motion analysis Tracking Motion estimation

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conference on computer vision and pattern recognition (cvpr)

作者： Guo-Dong Guo A.K. Jain Wei-Ying Ma Hong-Jiang Zhang Microsoft Research China China Department of Computer Science & Engineering Michigan State University USA

ISBN: (纸本)0769512720

A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Images on the positive side of the boundary are ranked by their Euclidean distances to the query. The scheme is called restricted similarity measure (RSM), which not only takes into consideration the perceptual similarity between images, but also significantly improves the retrieval performance based on the Euclidean distance measure. Two techniques, support vector machine and AdaBoost, are utilized to learn the boundary, and compared with respect to their performance in boundary learning. The positive and negative examples used to learn the boundary are provided by the user with relevance feedback. The RSM metric is evaluated on a large database of 10,009 natural images with an accurate ground truth. Experimental results demonstrate the usefulness and effectiveness of the proposed similarity measure for image retrieval.

关键词： Image retrieval Feedback Image databases Euclidean distance Content based retrieval Support vector machines computer science Machine learning computer vision Humans

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View-invariance in action recognition

View-invariance in action recognition

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conference on computer vision and pattern recognition (cvpr)

作者： C. Rao M. Shah Computer Vision Laboratory School of Electrical Engineering and Computer Science University of Central Florida Orlando FL USA

ISBN: (纸本)0769512720

Automatically understanding human actions using motion trajectories derived from video sequences is a very challenging problem. Since an action takes place in 3-D, and is projected on 2-D image, depending on the viewpoint of the camera, the projected 2-D trajectory may vary. Therefore, the same action may have very different trajectories, and trajectories of different actions may look the same. This may create a problem in interpretation of trajectories at the higher level. However, if the representation of actions only captures characteristics, which are view-invariant, then the higher level interpretation can proceed without any ambiguity. In most of the current work on action recognition, the issue of view invariance has been ignored. Therefore, proposed methods do not succeed in more general situations. In this paper, we first present a view-invariant representation of action consisting of dynamic instants and intervals, which is computed using spatiotemporal curvature of a trajectory. Then this representation is used by our system to learn human actions without any training. The system is able to incrementally learn different actions starting with no model. It can discover instances of the same action performed by different people, and in different viewpoints.

关键词： Humans Video sequences Spatiotemporal phenomena computer vision Cameras Vehicle dynamics computer science Video compression Application software Video surveillance

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Rethinking classical internal forces for active contour models

Rethinking classical internal forces for active contour mode...

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conference on computer vision and pattern recognition (cvpr)

作者： D.P. Perrin C.E. Smith Computer Science and Engineering University of Minnesota Minneapolis MN USA Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

ISBN: (纸本)0769512720

The classical active contour model has two basic internal forces: tension and curvature. These forces are included to provide cohe sion, equal control point spacing, and locally smooth shape. These classical internal forces have undesirable attributes that are in conflict with these original desired characteristics. Tension evenly spaces the control points, but also causes the models to collapse in weak image gradients. Curvature produces locally smooth curvature, but it does so by forcing the model toward a straight line. The paper returns to the original active contour model motivations to reformulate these internal forces. The desired properties are achieved without the introduction of unwanted model behavior A new spacing force and a new constant change in curvature force are introduced and their performance characteristics are discussed. The paper includes experimental results that demonstrate the efficacy and performance of the proposed reformulations.

关键词： Active contours Shape control computer science Force control computer vision Force measurement Pressure measurement Merging Deformable models

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The systematic design and analysis cycle of a vision system: a case study in video surveillance

The systematic design and analysis cycle of a vision system:...

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conference on computer vision and pattern recognition (cvpr)

作者： M. Greiffenhagen V. Ramesh H. Niemann Imaging & Visualization Department Siemens Corporate Research Inc. Princeton NJ USA Lehrstuhl für Mustererkennung Universität Erlangen Nürnberg Erlangen Germany

ISBN: (纸本)0769512720

As computer vision systems are increasingly developed and tested in the real-world, there is a significant need to formalize the process of system design and analysis so that engineers can rapidly design, test, and deploy vision systems for real-world applications. Our objective in this paper is to analyze the system design, analysis, and refinement cycle through a case study involving the systematic engineering of a dual-camera video surveillance system for people detection and zooming. We illustrate how an existing system designed and analyzed by following rigorous systematic engineering principles can be extended to relax the system operating conditions with minimal re-design and analysis efforts. The key conclusion is that by choosing appropriate modules and suitable statistical representations, we are able to re-use existing system design and performance analysis results.

关键词： Machine vision computer aided software engineering Video surveillance System analysis and design Design engineering System testing Systems engineering and theory Performance analysis computer vision Application software

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Real-time affine region tracking and coplanar grouping

Real-time affine region tracking and coplanar grouping

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conference on computer vision and pattern recognition (cvpr)

作者： V. Ferrari T. Tuytelaars L. Van Gool Computer Vision Group (BIWI) ETH Zurich Switzerland ESAT PSI University of Leuven Belgium

ISBN: (纸本)0769512720

We present a novel approach for tracking locally planar regions in an image sequence and their grouping into larger planar surfaces. The tracker recovers the affine transformation of the region and therefore yields reliable point correspondences between frames. Both edges and texture information are exploited in an integrated way, while not requiring the complete region's contour. The tracker withstands zoom, out-of-plane rotations, discontinuous motion and changes in illumination conditions while achieving real-time performance for a region. Multiple tracked regions are grouped into disjoint coplanarity classes. We first define a coplanarity score between each pair of regions, based on motion and texture cues. The scores are then analyzed by a clique-partitioning algorithm yielding the coplanarity classes that best fit the data. The method works in the presence of perspective distortions, discontinuous planar surfaces and considerable amounts of measurement noise.

关键词： Tracking Layout computer vision Image sequences Lighting Distortion measurement Noise measurement Anisotropic magnetoresistance Video sequences Buildings

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Production of video images by computer controlled cameras and its application to TV conference system

Production of video images by computer controlled cameras an...

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conference on computer vision and pattern recognition (cvpr)

作者： M. Onishi T. Kagebayashi K. Fukunaga Graduate School of Engineering Osaka Prefecture University Sakai Osaka Japan

ISBN: (纸本)0769512720

TV conference systems have been widely used recently. A participant of each site proceeds with a TV conference using video image on a screen and voice of a partner site. In this case, a fixed video camera shoots a scene of a site in general. The video image taken by a fixed camera, however, is lacking in changes. Also the fixed camera does not take shots efficiency that the participants of a partner site pay attention. As one of the candidates to avoid these defects, there is a method that the computer-controlled cameras shoots the scene. In this paper we propose an algorithm of shooting the best shot by computer-controlled cameras. The shooting algorithm is mainly decided by estimating an area of the image with high degree of attention, which is given by not only visual information but also auditory information. By using an experimental system, we confirm the effectiveness of our approach by examining a questionnaire from the participants of TV conferences.

关键词： Videoconference Cameras Application software TV Layout Spatiotemporal phenomena Production systems Control systems Human voice Appraisal

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Parametric representations for nonlinear modeling of visual data

Parametric representations for nonlinear modeling of visual ...

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conference on computer vision and pattern recognition (cvpr)

作者： Ying Zhu D. Comaniciu V. Ramesh S. Schwartz Electrical Engineering Princeton University Princeton NJ USA Imaging & Visualization Department Siemens Corporate Research Inc. Princeton NJ USA

ISBN: (纸本)0769512720

Accurate characterization of data distribution is of significant importance for vision problems. In many situations, multivariate visual data often spread into a nonlinear manifold in the high-dimensional space, which makes traditional linear modeling techniques ineffective. This paper proposes a generic nonlinear modeling scheme based on parametric data representations. We build a compact representation for the visual data using a set of parameterized basis (wavelet) functions, where the parameters are randomized to characterize the nonlinear structure of the data distribution. Meanwhile, a new progressive density approximation scheme is proposed to obtain an accurate estimate of the probability density, which imposes discrimination power on the model. Both synthetic and real image data are used to demonstrate the strength of our modeling scheme.

关键词： Principal component analysis Parametric statistics Data visualization Scattering Linearity Data engineering Manifolds pattern recognition Time measurement Parameter estimation

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Constrained minimum cut for classification using labeled and unlabeled data

Constrained minimum cut for classification using labeled and...

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conference on computer vision and pattern recognition (cvpr)

作者： C.H. Li Department of Computer Science Hong Kong Baptist University Hong Kong China

ISBN: (纸本)0769512720

The use of unlabeled data has lead to an improvement in classification accuracy for a variety of classification problems via co-training approaches. In the co-training approach, the data has to be available in a dual view representation or two distinct classifiers are required. In this paper, a unified energy equation for classification combining labeled data and unlabeled data is introduced. This classification formulation is posed as a constrained minimum cut problem integrating labeling information on labeled data and cluster similarity information on unlabeled data for joint estimation. A novel constrained randomized contraction algorithm is proposed for finding the solution to the constrained minimum cuts problem. Experimental results on standard datasets and synthetic datasets are presented.

关键词： Inference algorithms Clustering algorithms Machine learning Web pages Labeling Support vector machines Support vector machine classification computer science Equations Machine learning algorithms

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Object based segmentation of video using color, motion and spatial information

Object based segmentation of video using color, motion and s...

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conference on computer vision and pattern recognition (cvpr)

作者： S. Khan M. Shah Computer Vision Laboratory School of EECS University of Central Florida Orlando FL USA

ISBN: (纸本)0769512720

Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among segmentations of each frame for video segmentation. Previous approaches of video segmentation concentrate on motion, or combine motion and color information in a batch fashion. We propose a maximum a posteriori probability (MAP) framework that uses multiple cues, like spatial location, color and motion, for segmentation. We assign weights to color and motion terms, which are adjusted at every pixel, based on a confidence measure of each feature. We also discuss the appropriate modeling of PDFs of each feature of a region. The correct modeling of the spatial PDF imposes temporal consistency among segments in consecutive frames. This approach unifies the strengths of both color segmentation and motion segmentation in one framework, and shows good results on videos that are not suited for either of these approaches.

关键词： Image segmentation computer vision Video compression Image coding Layout Motion segmentation Visualization Laboratories Motion measurement Codecs

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