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Significance of elastic properties in physics-based nonrigid motion modeling, a numerical sensitivity analysis

Significance of elastic properties in physics-based nonrigid...

引用

2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Zhang, Yong Goldgof, Dmitry B. Sarkar, Sudeep Department of Computer Science and Engineering University of South Florida TampaFL33620 United States

Parameters used in the physical models for nonrigid motion simulation are often not known with high precision. It has been recognized that the commonly used assumptions about the parameters may have adverse effects on the modeling quality. We present an efficient sensitivity analysis method to assess the impact of those assumptions by examining the models response to the parameter perturbation. Numerical experiments with both synthetic and real models show that (1) the normalized sensitivity distribution can help determine the relative importance of different parameters;(2) the dimensional sensitivity is useful in the assessment of a particular parameter assumption;(3) the model is more sensitive at the property discontinuity (heterogeneity). The proposed sensitivity analysis method is general and can also be applied to the assessment of other types of assumptions such as nonlinearity and anisotropy. © 2004 ieee.

关键词： Sensitivity analysis

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3D periodic human motion reconstruction from 2D motion sequences

3D periodic human motion reconstruction from 2D motion seque...

引用

2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Zhang, Zonghua Troje, Nikolaus F. BioMotionLab Department of Psychology Queen's University Canada

In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier decomposition of a training set of 3D data, we construct a linear, morphable representation. Using this representation a low-dimensional linear model is learned by means of Principle Component Analysis (PCA). Two-dimensional test data are now projected onto this model and the resulting 3D reconstructions are evaluated. We present two different simulations. In the first experiment, we assume the 2D projection matrix to be known. In the second experiment, the horizontal viewpoint is unknown and is being recovered from the data. © 2004 ieee.

关键词： Three dimensional computer graphics

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The office of the past: Document discovery and tracking from video

The office of the past: Document discovery and tracking from...

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Kim, Jiwon Seitz, Steven M. Agrawala, Maneesh Department of Computer Science and Engineering University of Washington United States Microsoft Research United States

This paper presents an approach for reconstructing the physical state of documents and other objects on a desk over time using an overhead video camera. The history of the desktop is subsequently analyzed to enable a range of interesting queries. A desktop object is discovered when it first moves, and is tracked through the image sequence using change detection and motion segmentation techniques. The space-time structure of the scene is represented by a sequence of graphs where an "event", i.e., a change in the state of the scene, is modeled as a transition between subsequent graphs. We present two prototype applications that are based on these desktop reconstruction techniques. The first one allows the user to browse the structure and history of the desktop, and query documents of interest. The second application is a virtual desktop interface where the user can virtually manipulate the document stacks with mouse interaction. © 2004 ieee.

关键词： Video cameras

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Recovering shape and irradiance maps from rich dense texton fields

Recovering shape and irradiance maps from rich dense texton ...

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Lobay, Anthony Forsyth, D.A. Computer Science Division U.C. Berkeley Berkeley CA 94720

We describe a method that recovers an estimate of surface shape and of the irradiance field for a textured surface. The method assumes the surface is viewed in scaled orthography, and we demonstrate the appropriateness of this assumption. Our method uses interest points to obtain the locations of putative texton instances, clusters the textons into types, and then uses an autocalibration method to recover the frontal appearance of each texton model. This yields (a) a dense set of normal estimates, each up to a two-fold ambiguity (b) a dense set of irradiance estimates and (c) whether each instance is, in fact, an instance of the relevant texton. Because we are able to obtain a very large number of instances of a large number of different textons, this information is obtained at sites very closely spaced in the image. As a result, we need only a simple smoothness constraint to reconstruct a surface model, using EM to resolve the normal ambiguity. We show results on images of real scenes, comparing our reconstructions with those obtained using other methods and demonstrating the accuracy of both the recovered shape and the irradiance estimate.

关键词： computer vision

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Modeling images of natural 3D surfaces: Overview and potential applications

Modeling images of natural 3D surfaces: Overview and potenti...

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Jalobeanu, André Kuehnel, Frank O. Stutz, John C. RIACS NASA Ames Research Center Moffett FieldCA94035-1000 United States NASA Ames Research Center Moffett FieldCA94035-1000 United States

Generative models of natural images have long been used in computer vision. However, since they only describe the statistics of 2D scenes, they fail to capture all the properties of the underlying 3D world. Even though such models are sufficient for many vision tasks, a 3D scene model is needed when it comes to inferring a 3D object or its characteristics. In this paper, we present such a generative model, incorporating both a multiscale surface prior model for surface geometry and reflectance, and an image formation process model based on realistic rendering, that accounts for the physics of image generation. We focus on the computation of the posterior model parameter densities, and on the critical aspects of the rendering. We also discuss how to efficiently invert the model within a Bayesian framework. We present a few potential applications, such as asteroid modeling and planetary topography recovery, illustrated by promising results on real images. © 2004 ieee.

关键词： computer vision

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Is a magnetic sensor capable of evaluating a vision-based face tracking system?

Is a magnetic sensor capable of evaluating a vision-based fa...

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Yao, Zhengrong Li, Haibo Digital Media Lab Umea University Umea901 87 Sweden

This paper addresses an important issue, how to evaluate a vision-based face tracking system? Although nowadays it is getting popular to employ a magnetic sensor to evaluate the performance of such systems. The related issues such as condition and limitation of usage are often omitted. In this paper we studied this accepted evaluation methodology together with another evaluation method, Peak Signal to Noise (PSNR) commonly used in image coding community. The condition of proper usage of magnetic sensor as evaluating system is discussed. Our theoretical analysis and experiments with real video sequences show that we have to be very careful to select the so-called "ground truth". We believe that to help further development of face tracking techniques, a valid performance evaluation is necessary, both the evaluating system and the tracking system have to be jointly considered to decide if the evaluating method is valid. The experimental results give us further hints about the tracking performance when using different tracking scheme. © 2004 ieee.

关键词： Signal to noise ratio

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Component-based face recognition with 3D morphable models

Component-based face recognition with 3D morphable models

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Weyrauch, B. Heisele, B. Huang, J. Blanz, V. Center for Biological and Computational Learning M.I.T. CambridgeMA United States Honda Research Institute USA Inc. BostonMA United States Max-Planck-Institute for Computer Science Saarbrücken Germany

We present a system for pose and illumination invariant face recognition that combines two recent advances in the computer vision field: 3D morphable models and component-based recognition. A 3D morphable model is used to compute 3D face models from three input images of each subject in the training database. The 3D models are rendered under varying pose and illumination conditions to build a large set of synthetic images. These images are then used for training a component-based face recognition system. The face recognition module is preceded by a fast hierarchical face detector resulting in a system that can detect and identify faces in video images at about 4 Hz. The system achieved a recognition rate of 88% on a database of 2000 real images of ten people, which is significantly better than a comparable global face recognition system. The results clearly show the potential of the combination of morphable models and component-based recognition towards pose and illumination invariant face recognition. © 2004 ieee.

关键词： Face recognition

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Challenges in segmentation of human forms in outdoor video

Challenges in segmentation of human forms in outdoor video

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Liu, Zongyi Sarkar, Sudeep Computer Science and Engineering University of South Florida TampaFL33647 United States

Most gait and activity recognition algorithms rely on the use of silhouettes as the low-level representation. However, the detection of good silhouettes is still an open problem, particularly for sequences that are taken outdoors. Illumination conditions, compression artifacts, and low number of pixels on the subject, contribute to the difficulty. Presently, these issues are either ignored by using indoor data or addressed, on a case by case basis, by employing, essentially, a "bag of tricks" based approach. We argue for a more formal approach, based on generic shape and motion models to handle a variety of these problems, under the umbrella of one formalism. We present an HMM-based Eigen Stance model, built based on manually created silhouettes from 71 individuals. The population HMM helps map a frame in any given sequence to a stance and the appearance based Eigen-Stance model is used to reconstruct the computed silhouette in that frame. We quantify the performance in terms of signal based criteria of missed detection and false positive prediction rate. We also show results on three different databases. © 2004 ieee.

关键词： computer vision

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Understanding images of graphical user interfaces: A new approach to activity recognition for visual surveillance

Understanding images of graphical user interfaces: A new app...

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Yu, Li Boult, Terrance E. Lehigh University BethlehemPA18015 United States University of Colorado at Colorado Springs Colorado SpringsCO80933-7150 United States

A fundamental problem in surveillance systems is the specification of "activities of interest". While various activity recognition systems have been developed, they have used complex hand-coded representations. What is of interest to a particular surveillance system user can vary greatly, and the security forces using the system are not, in general, advanced computer users. This paper presents a novel paradigm for specifying and recognizing activities in a surveillance system by visualizing tracking results, and using computer vision techniques to interpret the images presented by their Graphical User Interfaces. Representation of activities of interest can be easily drawn by users. Not only is the drawing-based specification of activities of interest easier than previous approaches, but when a "rule" fires, it is easy to explain "why", by showing the operator the associated drawings. This approach also permits a new type of system integration, where we integrate the "display" of sensors rather than trying to develop a complex communication protocol. A user study is reviewed showing the proposed approach is thousands of time faster than HMMs for event definition while it is simultaneously more accurate in event recognition. © 2004 ieee.

关键词： Graphical user interfaces

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Reconstructing open surfaces from unorganized data points

Reconstructing open surfaces from unorganized data points

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Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Solem, Jan Erik Heyden, Anders School of Technology and Society Malmö University Sweden

In this paper a method for fitting open surfaces to an unorganized set of data points is presented using a level set representation of the surface. This is done by tracking a curve, representing the boundary, on the implicitly defined surface. This curve is given as the intersection of the level set describing the surface and an auxiliary level set. These two level sets are propagated using the same motion vector field. Special care has to be taken in order for the surfaces not to intersect at other places than at the desired boundary. Methods for accomplishing this are presented and a novel fast scheme for finding good initial values is proposed. This novel method gives a piecewise linear approximation of the initial surface boundary using a partition of the convex hull. With the described method open surfaces can be fitted to point clouds obtained using structure from motion techniques. This paper solves an important practical problem since in many cases the surfaces in the scene are open or can only be viewed from certain directions. Successful experiments on several data sets support the method.

关键词： Image reconstruction

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