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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"

共 8962 条记录，以下是4891-4900 订阅

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Robust fragments-based tracking using the integral histogram

Robust fragments-based tracking using the integral histogram

引用

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

作者： Adam, Amit Rivlin, Ehud Shimshoni, Ilan Dept. of Computer Science Technion - Israel Institute of Technology Haifa 32000 Israel Dept. of Management Information Systems Haifa University Haifa 31905 Israel

ISBN: (纸本)0769525970

We present a novel algorithm (which we call "Frag-Track")for tracking an object in a video sequence. The template object is represented by multiple image fragments or patches. The patches are arbitrary and are not based on an object model (in contrast with traditional use of model-based parts e.g. limbs and torso in human tracking). Every patch votes on the possible positions and scales of the object in the current frame, by comparing its histogram with the corresponding image patch histogram. We then minimize a robust statistic in order to combine the vote maps of the multiple patches. A key tool enabling the application of our algorithm to tracking is the integral histogram data structure [18]. Its use allows to extract histograms of multiple rectangular regions in the image in a very efficient manner. Our algorithm overcomes several difficulties which cannot be handled by traditional histogram-based algorithms [8, 6]. First, by robustly combining multiple patch votes, we are able to handle partial occlusions or pose change. Second, the geometric relations between the template patches allow us to take into account the spatial distribution of the pixel intensities - information which is lost in traditional histogram-based algorithms. Third, as noted by [18], tracking large targets has the same computational cost as tracking small targets. We present extensive experimental results on challenging sequences, which demonstrate the robust tracking achieved by our algorithm (even with the use of only gray-scale (non-color) information). © 2006 ieee.

关键词： Tracking (position)

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Autonomous learning of object appearances using colour contour frames

Autonomous learning of object appearances using colour conto...

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Forssén, Per-Erik Moe, Anders Laboratory for Computational Intelligence Department of Computer Science 2366 Main Mall BC V6T 1Z4 Canada Computer Vision Laboratory Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden

ISBN: (纸本)0769525423

In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order to make the resultant object recognition ability more robust, and discriminative, we replace earlier used colour histogram features with an invariant texture-patch method. The texture patches are extracted in a similarity invariant frame which is constructed from short colour contour segments. We demonstrate the robustness of our invariant frames with a repeatability test under general homography transformations of a planar scene. Through the repeatability test, we find that defining the frame using using ellipse segments instead of lines where this is appropriate improves repeatability. We also apply the developed features to autonomous learning of object appearances, and show how the learned objects can be recognised under out-of-plane rotation and scale changes. © 2006 ieee.

关键词： Object recognition

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Building local safety maps for a wheelchair robot using vision and lasers

Building local safety maps for a wheelchair robot using visi...

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Murarka, Aniket Modayil, Joseph Kuipers, Benjamin Department of Computer Sciences University of Texas Austin United States

ISBN: (纸本)0769525423

To be useful as a mobility assistant for a human driver, an intelligent robotic wheelchair must be able to distinguish between safe and hazardous regions in its immediate environment. We present a hybrid method using laser range-finders and vision for building local 2D metrical maps that incorporate safety information (called local safety maps). Laser range-finders are used for localization and mapping of obstacles in the 2D laser plane, and vision is used for detection of hazards and other obstacles in 3D space. The hazards and obstacles identified by vision are projected into the travel plane of the robot and combined with the laser map to construct the local 2D safety map. The main contributions of this work are (i) the definition of a local 2D safety map, (ii) a hybrid method for building the safety map, and (iii) a method for removing noise from dense stereo data using motion. © 2006 ieee.

关键词： computer vision

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An enhanced positioning algorithm for a self-referencing hand-held 3D sensor

An enhanced positioning algorithm for a self-referencing han...

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3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Khoury, Richard Electrical and Computer Engineering Department University of Waterloo 200 University Avenue West Waterloo Ont. N2L 3G1 Canada

ISBN: (纸本)0769525423

This study deals with the design of an enhanced self-referencing algorithm for a typical hand-held 3D sensor. The enhancement we propose takes the form of a new algorithm which forms and matches triangles out of the scatter of observed reference points and the sensor's list of reference points. Three different techniques to select which triangles to consider in each scatter of points are considered in this paper, and theoretical arguments and experimental results are used to determine the best of the three. © 2006 ieee.

关键词： Sensors

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Structure and view estimation for tomographic reconstruction: A Bayesian approach

Structure and view estimation for tomographic reconstruction...

引用

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

作者： Mallick, Satya P. Agarwal, Sameer Kriegman, David J. Belongie, Serge J. Carragher, Bridget Potter, Clinton S. Computer Science and Engineering University of California San Diego National Resource for Automated Molecular Microscopy Department of Cell Biology Scripps Research Institute San Diego

ISBN: (纸本)0769525970

This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an image value is related to the integral of the scene density along a 3D line segment between a radiation source and a point on the image plane. While computed tomography (CT) addresses this problem when the absolute orientation of the image plane and radiation source directions are known, this paper addresses the problem when the orientations are unknown - it is akin to the structure-from-motion (SFM) problem when the extrinsic camera parameters are unknown. We study the problem within the context of reconstructing the density of protein macro-molecules in Cryogenic Electron Microscopy (cryo-EM), where images are very noisy and existing techniques use several thousands of images. In a non-degenerate configuration, the viewing planes corresponding to two projections, intersect in a line in 3D. Using the geometry of the imaging setup, it is possible to determine the projections of this 3D line on the two image planes. In turn, the problem can be formulated as a type of orthographic structure from motion from line correspondences where the line correspondences between two views are unreliable due to image noise. We formulate the task as the problem of denoising a correspondence matrix and present a Bayesian solution to it. Subsequently, the absolute orientation of each projection is determined followed by density reconstruction. We show results on cryo-EM images of proteins and compare our results to that of Electron Micrograph Analysis (EMAN)- a widely used reconstruction tool in cryo-EM. © 2006 ieee.

关键词： Image reconstruction

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The Nomad 200 and the Nomad SuperScout: Reverse engineered and resurrected

The Nomad 200 and the Nomad SuperScout: Reverse engineered a...

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Chopra, Arjun Obsniuk, Mark Jenkin, Michael R. Department of Computer Science and Engineering Centre for Vision Research York University Toronto Ont. Canada

ISBN: (纸本)0769525423

The Nomad 200 and the Nomad SuperScouts are among the most popular platforms used, for research in robotics. Built in the early 1990's they were the base of choice for many mobile robotics researchers. Unfortunately, lack of support and proper documentation to enhance the computing power on these robots has meant that they have slowly faded away into oblivion. We at York University have four robots from Nomadic Technologies Inc., and rather than allowing our old robots to just rust away, we decided to breathe new life back into them. In this paper we present the techniques we used to resurrect our old Nomads. © 2006 ieee.

关键词： Reverse engineering

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Real-time image-based guidance method for lung-cancer assessment

Real-time image-based guidance method for lung-cancer assess...

引用

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

作者： Rai, Lav Merritt, Scott A. Higgins, William E. Dept. of Computer Science and Engineering Penn State University University Park PA 16802 United States Dept. of Electrical Engineering Penn State University University Park PA 16802 United States

ISBN: (纸本)0769525970

The assessment of lung cancer involves off-line three-dimensional (3D) computed-tomography (CT) image assessment followed by live bronchoscopy. While standard bronchoscopy provides live video of information inside the lung airways, it does not give any information outside the airways. This results in a low procedure success rate. The success rate can be improved if the physician receives 3D CT-based image guidance. We describe a fast robust method that provides 3D CT-based image guidance during live bronchoscopy. The method enables a continuous registration between the 3D CT image space and the real bronchoscopic video. At a top level, it involves an inter-leaving of continuous video tracking and CT-video fine registration. During video tracking, the bronchoscope's 3D motion is estimated using a point-based 3D-2D pose estimation method. Registration is performed via a warping-based Gauss-Newton method that uses a normalized cross-correlation-based cost for measuring similarity between the bronchoscopic video and CT image data. The method operates at a real-time rate of 10 frames per second, which is over an order of magnitude faster than past approaches. This real-time performance enables live guidance during a procedure. The method is incorporated into a computer-based system for image-guided bronchoscopy and has been applied to human lung-cancer patients. Results are presented for a phantom and lung-cancer patients. © 2006 ieee.

关键词： Medical imaging

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Using 3D spline differentiation to compute quantitative optical flow

Using 3D spline differentiation to compute quantitative opti...

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Barron, John Leonard Daniel, Marc Mari, Jean-Luc Middlesex College Dept. of Computer Science University of Western Ontario London Ont. N6A 5B7 Canada Laboratoire des Sciences de l'Information et des Systèmes Ecole Supérieure d'Ingénieurs de Luminy Case Postale 925 13288 Marseille Cedex 9 France

We show that differentiation via fitting B-splines to the spatio-temporal intensity data comprising an image sequence provides at least the same and usually better 2D Lucas and Kanade optical flow than that computed v... 详细信息

ISBN: (纸本)0769525423

关键词： Optical flows

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3D face reconstruction from stereo video

3D face reconstruction from stereo video

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Park, Unsang Jain, Anil K. Computer Science and Engineering Michigan State University United States

ISBN: (纸本)0769525423

Face processing in video is receiving substantial attention due to its importance in many security-related applications. A video provides rich information about a face (multiple frames and temporal coherence) that can be utilized in conjunction with 3D face models, if available, to establish a subject's identity. We propose a 3D face modeling method that reconstructs a user-specific model derived from a generic 3D face model and two video frames of the user. The user-specific 3D face model can be enrolled into the 3D face database at the enrollment stage to be used in later identification process. The reconstruction process can also be used for the probe data in recognition stage, where the reconstructed 3D face model using probe face is used to generate an optimal view and lighting for the recognition process. The advantage of utilizing reconstructed 3D face model is demonstrated by conducting face recognition experiments for 15 probe subjects against a gallery database containing 100 subjects. © 2006 ieee.

关键词： Image reconstruction

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Disparity map estimation using a total variation bound

Disparity map estimation using a total variation bound

引用

3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Miled, Wided Pesquet, Jean Christophe Parent, Michel INRIA IMARA Project Domaine de Voluceau 78150 Le chesnay Cedex France Institut Gaspard Monge UMR-CNRS 8049 Université Marne-la-vallée 77454 Champs-sur-Marne France

ISBN: (纸本)0769525423

This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an objective function is minimized under various constraints modelling prior knowledge and observed information. The algorithm proposed to solve this problem has a block-iterative structure which allows a wide range of constraints to be easily incorporated, possibly taking advantage of parallel computing architectures. In this work, we use a Total Variation bound as a regularization constraint, which is shown to be well-suited to disparity maps. Experimental results for standard data sets are presented to illustrate the capabilities of the proposed disparity estimation technique. © 2006 ieee.

关键词： computer vision

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