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Improving border localization of multi-baseline stereo using border-cut

Improving border localization of multi-baseline stereo using...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Drouin, Marc-Antoine Trudeau, Martin Roy, Sébastien DIRO Université de Montréal Canada

ISBN: (纸本)0769525970

This paper presents a novel algorithm that improves the localization of disparity discontinuities of disparity maps obtained by multi-baseline stereo. Rather than associating a disparity label to every pixel of a disparity map, it associates a position to every disparity discontinuity. This formulation allows us to find an approximate solution to a 2D labeling problem with robust smoothing term by minimizing multiple 1D problems, thus making possible the use of dynamic programming. Dynamic programming allows the efficient computation of the visibility of most of the cameras during the minimization. Whilst the proposed minimization strategy is particularly suitable for stereo with occlusion, it may be used with other labeling problems. © 2006 ieee.

关键词： Stereo vision

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Quantitative evaluation of near regular texture synthesis algorithms

Quantitative evaluation of near regular texture synthesis al...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Lin, Wen-Chieh Hays, James Wu, Chenyu Kwatra, Vivek Liu, Yanxi College of Computer Science National Chiao-Tung University School of Computer Science Carnegie Mellon University Department of Computer Science University of North Carolina Chapel Hill

ISBN: (纸本)0769525970

Near regular textures are pervasive in man-made and natural world. Their global regularity and local randomness pose new difficulties to the state of the art texture analysis and synthesis algorithms. We carry out a systematic comparison study on the performance of four texture synthesis algorithms on near-regular textures. Our results confirm that faithful near-regular texture synthesis remains a challenging problem for the state of the art general purpose texture synthesis algorithms. In addition, we provide comparison of human perception with computer evaluations on the quality of the texture synthesis results. © 2006 ieee.

关键词： Textures

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Globally optimal grouping for symmetric boundaries

Globally optimal grouping for symmetric boundaries

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Stahl, Joachim S. Wang, Song Department of Computer Science and Engineering University of South Carolina Columbia SC 29208

ISBN: (纸本)0769525970

Many natural and man-made structures have a boundary that shows certain level of bilateral symmetry, a property that has been used to solve many computer-vision tasks. In this paper, we present a new grouping method for detecting closed boundaries with symmetry. We first construct a new type of grouping token in the form of a symmetric trapezoid, with which we can flexibly incorporate various boundary and region information into a unified grouping cost function. Particularly, this grouping cost function integrates Gestalt laws of proximity, closure, and continuity, besides the desirable boundary symmetry. We then develop a graph algorithm to find the boundary that minimizes this grouping cost function in a globally optimal fashion. Finally, we test this method by some experiments on a set of natural and medical images. © 2006 ieee.

关键词： Image segmentation

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The Tyzx DeepSea G2 vision System, A taskable, embedded stereo camera

The Tyzx DeepSea G2 Vision System, A taskable, embedded ster...

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2006 conference on computer vision and pattern recognition workshops

作者： Woodfill, John Iselin Gordon, Gaile Jurasek, Dave Brown, Terrance Buck, Ron Tyzx Inc. 3895 Bohannon Dr. Menlo Park CA 04025 United States

ISBN: (纸本)0769526462

Our goal is to build vision systems suitable for deployment in devices that operate in demanding dynamic, variably lit, real-world environments. For such systems to be successful, not only must they perform their visual analysis well and robustly, but they must also be small, cheap and consume little power. Further, since volume deployments of such vision systems are still nascent, the systems must be taskable - flexible enough to support many different uses. We have met our goal with the Tyzx DeepSea G2 Stereo vision System, an embedded stereo camera consisting of two CMOS imagers, a DeepSea II stereo ASIC, an FPGA, a DSP/Co-processor and a PowerPC running Linux, connected to the Ethernet. It is made practically taskable by the definition of a set of configurable visual primitives supported by specific hardware acceleration. These primitives include stereo correlation, color and depth background modeling, and 2D and 3D quantized representations or projections of the range data. We have defined a common programming interface in which the visual primitives are available both in traditional workstation environments, supported in software, and on the G2 with hardware acceleration. Single G2s are deployed in mobile platforms such as robots and automobiles, while networks of G2s are deployed in tracking systems in public and private sites around the world. © 2006 ieee.

关键词： computer vision

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Stereo vision in structured environments by consistent semi-global matching

Stereo vision in structured environments by consistent semi-...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Hirschmüller, Heiko 82230 Wessling Germany

ISBN: (纸本)0769525970

This paper considers the use of stereo vision in structured environments. Sharp discontinuities and large untextured areas must be anticipated, but complex or natural shapes of objects and fine structures should be handled as well. Additionally, radiometric differences of input images often occur in practice. Finally, computation time is an issue for handling large or many images in acceptable time. The Semi-Global Matching method is chosen as it fulfills already many of the requirements. Remaining problems in structured environments are carefully analyzed and two novel extensions suggested. Firstly, intensity consistent disparity selection is proposed for handling untextured areas. Secondly, discontinuity preserving interpolation is suggested for filling holes in the disparity images that are caused by some filters. It is shown that the performance of the new method on test images with ground truth is comparable to the currently best stereo methods, but the complexity and runtime is much lower. © 2006 ieee.

关键词： Stereo vision

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Uncertainty models in quasiconvex optimization for geometric reconstruction

Uncertainty models in quasiconvex optimization for geometric...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Ke, Qifa Kanade, Takeo Department of Computer Science Carnegie Mellon University

ISBN: (纸本)0769525970

Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L∞- norm. Unlike L2-norm (sum of squared reprojection errors), the global minimum of L∞-norm can be efficiently achieved by quasiconvex optimization. However, the maximum of reprojection errors is the meaningful measure to minimize only when the measurement noises are independent and identically distributed at every 2D feature point and in both directions in the image. This is rarely the case in real data, where the positional noise not only varies at different features, but also has strong directionality. In this paper, we incorporate the directional uncertainty model into a quasiconvex optimization framework, in which global minimum of meaningful errors can be efficiently achieved, and accurate geometric reconstructions can be obtained from feature points that contain high directional uncertainty. © 2006 ieee.

关键词： Uncertain systems

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Polarization-based surface reconstruction via patch matching

Polarization-based surface reconstruction via patch matching

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Atkinson, Gary Hancock, Edwin Department of Computer Science University of York York YO10 5DD United Kingdom

ISBN: (纸本)0769525970

A new method for multiple viewpoint 3D shape reconstruction is presented that relies on the polarization properties of surface reflection. The method is intended to complement existing stereo techniques by establishing correspondence for surfaces without salient features. The phase and degree of polarization from two views of an object are used to reconstruct surface patches. Local surface properties are then used to both align these patches and to compute a cost for that alignment. This cost is used as a basis to establish correspondence between the two views. The method is tested on an object library comprising shapes of varying complexity and material. An accuracy assessment is also presented where real world data are compared to ground truth. © 2006 ieee.

关键词： pattern matching

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Robust tracking and stereo matching under variable illumination

Robust tracking and stereo matching under variable illuminat...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Zhang, Jingdan McMillan, Leonard Yu, Jingyi UNC Chapel Hill Chapel Hill NC 27599 University of Delaware Newark DE 19716

ISBN: (纸本)0769525970

Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illumination variations using an Illumination Ratio Map (IRM). An IRM computes the intensity ratio of corresponding points in an image pair. We formulate IRM recovery as a Markov network, which assumes spatially varying illumination changes can be modeled as a locally smooth function with boundaries. We show that the IRM Markov network can be easily incorporated into low-level vision problems, such as tracking and stereo matching, by integrating IRM estimation with the optical flow field/disparity map solution process. This leads to a unified Markov network. We develop an iterative optimization algorithm based on Belief Propagation to efficiently recover the illumination ratio map and the optical field/disparity map at the same time. Experiments demonstrate that our methods are robust and reliable. © 2006 ieee.

关键词： computer vision

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A conic section classifier and its application to image datasets

A conic section classifier and its application to image data...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Banerjee, Arunava Kodipaka, Santhosh Vemuri, Baba C. Department of Computer and Information Science and Engineering University of Florida Gainesville FL 32611

ISBN: (纸本)0769525970

Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image datasets, the high-dimensionality of the data points, that makes the direct application of off-the-shelf learning techniques problematic. In this paper, we present a novel concept class and a companion tractable algorithm for learning a suitable classifier from a given labeled dataset, that is particularly suited to high-dimensional sparse datasets. Each member class in the dataset is represented by a prototype conic section in the feature space, and new data points are classified based on a distance measure to each such representative conic section that is parameterized by its focus, directrix and eccentricity. Learning is achieved by altering the parameters of the conic section descriptor for each class, so as to better represent the data. We demonstrate the efficacy of the technique by comparing it to several well known classifiers on multiple public domain datasets. © 2006 ieee.

关键词： Image analysis

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recognition of composite human activities through context-free grammar based representation

Recognition of composite human activities through context-fr...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Ryoo, M.S. Aggarwal, J.K. Computer and Vision Research Center Department of ECE University of Texas Austin

ISBN: (纸本)0769525970

This paper describes a general methodology for automated recognition of complex human activities. The methodology uses a context-free grammar (CFG) based representation scheme to represent composite actions and interactions. The CFG-based representation enables us to formally define complex human activities based on simple actions or movements. Human activities are classified into three categories: atomic action, composite action, and interaction. Our system is not only able to represent complex human activities formally, but also able to recognize represented actions and interactions with high accuracy, Image sequences are processed to extract poses and gestures. Based on gestures, the system detects actions and interactions occurring in a sequence of image frames. Our results show that the system is able to represent composite actions and interactions naturally. The system was tested to represent and recognize eight types of interactions: approach, depart, point, shake-hands, hug, punch, kick, and push. The experiments show that the system can recognize sequences of represented composite actions and interactions with a high recognition rate. © 2006 ieee.

关键词： Gesture recognition

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