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Tracking Objects Of Deformable Shapes
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Book Synopsis Tracking Objects of Deformable Shapes by : K. Mahesh
Download or read book Tracking Objects of Deformable Shapes written by K. Mahesh and published by . This book was released on 2020 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a solution to determine the optimal elastic matching of a deformable template to an image. The central idea is to cast the optimal matching of each template point to a corresponding image pixel as a problem of finding a minimum cost cyclic path in the three-dimensional product space as well as in four-dimensional product space spanned by the template and the input image. We introduce a cost functional associated with each cycle, which consists of three terms: a data fidelity term favoring strong intensity gradients, a shape consistency term favoring similarity of tangent angles of corresponding points, and an elastic penalty for stretching or shrinking. The functional is normalized with respect to the total length to avoid a bias toward shorter curves.Optimization is performed by Lawler's Minimum Ratio Cycle algorithm parallelized on state-of-the-art graphics cards. The algorithm provides the optimal segmentation and point correspondence between template and segmented curve in computation times that are essentially linear in the number of pixels.A new approach to 4-D shape-based segmentation and tracking of multiple,deformable anatomical structures used in cardiac MR images can be implemented here.We propose to use an energy-minimizing geometrically deformable template(GDT) which can deform into similar shapes under the influence of image forces.The degree of deformation of the template from its equilibrium shape is measured by a penalty function associated with mapping between the two shapes.By minimizing this term along with the image energy terms of the classic deformable model,the deformable template is attracted towards objects in the image whose shape is similar to its equilibrium shape.This allows the simultaneous segmentation of multiple deformable objects using intra-as well as inter-shape information.Simulated Annealing(SA),a stochastic relaxation technique is used for segmentation while Iterated Conditional Modes(ICM),a deterministic relaxation technique is used for tracking.
Book Synopsis Learning Deformable Shape Models for Object Tracking by : Anthony James Heap
Download or read book Learning Deformable Shape Models for Object Tracking written by Anthony James Heap and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of computer vision to locate or track objects in images has applications in a diversity of domains. It is generally recognised that the analysis of objects of interest is eased significantly by making use of models of objects. In many cases, the strongest visual feature of an object is its shape. Also, many objects of interest are non-rigid, or have a non-rigid appearance with respect to a particular viewpoint. For these reasons, there is much interest in the construction of, and tracking with, deformable shape models. A common approach to building such a model is to apply statistics to a set of real-life training examples of an object in order to learn shape and deformation characteristics. Such methods have proved successful in many specific applications; however, they can experience inadequacies in the general case. For example, objects which exhibit non-linear deformations give rise to models which are not compact and not specific: in the process of capturing the range of valid shapes, invalid shapes also become incorporated into the model. This effect is particularly pronounced when building models from automatically-gathered training data. Also, in tracking, smooth movement and deformation is generally assumed, but is not always the case: the apparent shape of an object can change discontinuously over time due to, for example, rotations in 3D. The work in this thesis addresses the above problems. Two extensions to current statistical methods are described. The first makes use of polar coordinates to improve the modelling of objects which bend or pivot. The second uses a hierarchical approach to model more general complex deformations; non-linearities are broken down into smaller linear pieces in order to improve model specificity. In particular, this greatly improves the modelling of objects from automatically-gathered training data. A new approach to tracking which complements the latter of these models is also described. Learned object shape dynamics are combined with stochastic tracking to produce a system which can track from automatically-generated models, as well as being able to handle discontinuous shape changes. Examples are given of the use of these techniques, predominantly in the domain of hand tracking. In particular, it is shown how it is possible to track 3D objects purely from 2D models of their silhouettes.
Book Synopsis Computer Vision -- ECCV 2010 by : Kostas Daniilidis
Download or read book Computer Vision -- ECCV 2010 written by Kostas Daniilidis and published by Springer Science & Business Media. This book was released on 2010-08-30 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set comprising LNCS volumes 6311 until 6313 constitutes the refereed proceedings of the 11th European Conference on Computer Vision, ECCV 2010, held in Heraklion, Crete, Greece, in September 2010. The 325 revised papers presented were carefully reviewed and selected from 1174 submissions. The papers are organized in topical sections on object and scene recognition; segmentation and grouping; face, gesture, biometrics; motion and tracking; statistical models and visual learning; matching, registration, alignment; computational imaging; multi-view geometry; image features; video and event characterization; shape representation and recognition; stereo; reflectance, illumination, color; medical image analysis.
Book Synopsis Articulated Motion and Deformable Objects by : Francisco J. Perales
Download or read book Articulated Motion and Deformable Objects written by Francisco J. Perales and published by Springer Science & Business Media. This book was released on 2008-07 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Articulated Motion and Deformable Objects, AMDO 2008, held in Port d'Andratx, Mallorca, Spain, in July 2008. The 36 revised full papers and 7 poster papers presented were carefully reviewed and selected from 64 submissions. The papers are organized in topical section on computer graphics: human modelling and animation, human motion: analysis, tracking, 3D reconstruction and recognition, multimodal user interaction: VR and ar, speech, biometrics, and advanced multimedia systems: standards, indexed video contents.
Book Synopsis Point-Based Graphics by : Markus Gross
Download or read book Point-Based Graphics written by Markus Gross and published by Elsevier. This book was released on 2011-05-04 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: The polygon-mesh approach to 3D modeling was a huge advance, but today its limitations are clear. Longer render times for increasingly complex images effectively cap image complexity, or else stretch budgets and schedules to the breaking point. Comprised of contributions from leaders in the development and application of this technology, Point-Based Graphics examines it from all angles, beginning with the way in which the latest photographic and scanning devices have enabled modeling based on true geometry, rather than appearance. From there, it’s on to the methods themselves. Even though point-based graphics is in its infancy, practitioners have already established many effective, economical techniques for achieving all the major effects associated with traditional 3D Modeling and rendering. You’ll learn to apply these techniques, and you’ll also learn how to create your own. The final chapter demonstrates how to do this using Pointshop3D, an open-source tool for developing new point-based algorithms. The first book on a major development in computer graphics by the pioneers in the field Shows how 3D images can be manipulated as easily as 2D images are with Photoshop
Book Synopsis Object Detection and Classification Using Shape Feature by : Computer engineer Huang
Download or read book Object Detection and Classification Using Shape Feature written by Computer engineer Huang and published by . This book was released on 2014 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop a set of methods to represent and detect shapes in images. We first develop new shape descriptors that are robust to deformation while being able to capture part details. In our framework, the shape descriptor is generated by 1) using running angle to transforming a shape into a 2-D description image in the position and scale space; 2) performing circular wavelet-like sub-band decomposition of this 2-D description image based on its periodic convolution with orthogonal kernel functions. The shapes are classified with linear SVM. Our performance evaluations on several public datasets demonstrate that the proposed method significantly outperforms state-of-the-art methods. We then study the problem of detecting deformable objects from cluttered images given a single object sketch as model. To address this challenge, we develop local shape descriptors and additive similarity metric function which can be computed locally while preserving the capability of matching deformable shapes globally. To effectively detect objects with large deformation, we augment the metric function with local motion search, model the relationship between different shape parts using multiple concurrent dynamic programming shape parsers, and finalize the detection result using Hough voting. Our experimental results show that the proposed method outperforms the state-of-the-art shape-based object detection algorithms on the benchmark datasets in terms of average precision.
Book Synopsis Computer Vision--ECCV '92 by : Giulio Sandini
Download or read book Computer Vision--ECCV '92 written by Giulio Sandini and published by Springer Science & Business Media. This book was released on 1992-04-29 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects the papers accepted for presentation at the Second European Conference on Computer Vision, held in Santa Margherita Ligure, Italy, May 19-22, 1992. Sixteen long papers, 41 short papers and 48 posters were selected from 308 submissions. The contributions are structured into 14 sections reflecting the major research topics in computer vision currently investigated worldwide. The sections are entitled: features, color, calibration and matching, depth, stereo-motion, tracking, active vision, binocular heads, curved surfaces and objects, reconstruction and shape, recognition, and applications.
Download or read book Deformable Models written by Aly Farag and published by Springer Science & Business Media. This book was released on 2007-08-21 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. It includes level sets, PDEs, curve and surface evolution and their applications in biomedical fields covering both static and motion imagery.
Book Synopsis Object Matching Using Deformable Templates by : Yu Zhong
Download or read book Object Matching Using Deformable Templates written by Yu Zhong and published by . This book was released on 1997 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Visual Tracking of Articulated and Flexible Objects by : Daniel Wesierski
Download or read book Visual Tracking of Articulated and Flexible Objects written by Daniel Wesierski and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans can visually track objects mostly effortlessly. However, it is hard for a computer to track a fast moving object under varying illumination and occlusions, in clutter, and with varying appearance in camera projective space due to its relaxed rigidity or change in viewpoint. Since a generic, precise, robust, and fast tracker could trigger many applications, object tracking has been a fundamental problem of practical importance since the beginnings of computer vision. The first contribution of the thesis is a computationally efficient approach to tracking objects of various shapes and motions. It describes a unifying tracking system that can be configured to track the pose of a deformable object in a low or high-dimensional state-space. The object is decomposed into a chained assembly of segments of multiple parts that are arranged under a hierarchy of tailored spatio-temporal constraints. The robustness and generality of the approach is widely demonstrated on tracking various flexible and articulated objects. Haar-like features are widely used in tracking. The second contribution of the thesis is a parser of ensembles of Haar-like features to compute them efficiently. The features are decomposed into simpler kernels, possibly shared by subsets of features, thus forming multi-pass convolutions. Discovering and aligning these kernels within and between passes allows forming recursive trees of kernels that require fewer memory operations than the classic computation, thereby producing the same result but more efficiently. The approach is validated experimentally on popular examples of Haar-like features.
Book Synopsis Pattern Recognition and Image Analysis by : Francisco J. Perales López
Download or read book Pattern Recognition and Image Analysis written by Francisco J. Perales López and published by Springer. This book was released on 2003-10-02 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the First Iberial Conference on Pattern Recognition and Image Analysis, IbPria 2003, held in Puerto de Andratx, Mallorca, Spain in June 2003. The 130 revised papers presented were carefully reviewed and selected from 185 full papers submitted. All current aspects of ongoing research in computer vision, image processing, pattern recognition, and speech recognition are addressed.
Download or read book Spatial Computing written by Terry Caelli and published by World Scientific. This book was released on 1997 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of a special workshop on Spatial Computing which brought together experts in computer vision, visualization, multimedia and geographic information systems to discuss common problems and applications. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data. The overwhelming conclusion was that these different areas of spatial computing should be communicating more than is done at present and that such workshops and publications would help this process.
Author :Manuel González Hidalgo Publisher :Springer Science & Business Media ISBN 13 :9400754469 Total Pages :301 pages Book Rating :4.4/5 (7 download)
Book Synopsis Deformation Models by : Manuel González Hidalgo
Download or read book Deformation Models written by Manuel González Hidalgo and published by Springer Science & Business Media. This book was released on 2012-10-29 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. In addition, these advances have been supported by the evolution of computer processing capabilities, enabling realism in a more sophisticated way. This book encompasses relevant works of expert researchers in the field of deformation models and their applications. The book is divided into two main parts. The first part presents recent object deformation techniques from the point of view of computer graphics and computer animation. The second part of this book presents six works that study deformations from a computer vision point of view with a common characteristic: deformations are applied in real world applications. The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine.
Book Synopsis Object Shape Estimation and Tracking Based on Earth Mover's Distance and Image Moments by : Gang Yao
Download or read book Object Shape Estimation and Tracking Based on Earth Mover's Distance and Image Moments written by Gang Yao and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object tracking and its shape estimation from a variety of different measurement sensors is an important problem in many autonomy, robotics, and aerospace system applications. This dissertation proposes tracking algorithms considering two types of measurements: dense illuminance-based measurements and sparse measurement points. Visual tracking algorithms are based on dense illuminance-based measurements, which use the silhouette, color and texture information to represent and track the target. However, when measurements are sparse and only have the position information, extended object tracking (EOT) algorithms are used to solve this problem. For visual tracking using dense illuminance-based measurements, an efficient iterative Earth Mover's Distance (iEMD) algorithm is proposed. The Earth Mover's Distance (EMD) is used as a similarity measure to search for the optimal template candidates in feature-spatial space in a video sequence. Local sparse representation is used as the appearance model for the iEMD tracker. For extended object tracking using sparse measurement points, two models are proposed in this dissertation considering the geometric characteristics of the targets. An image moment-based model is proposed for tracking and estimating the position and shape of the rigid extended object. To track and estimate the shape of the elongated deformable object, a B-spline chained multiple random matrices representation is proposed. Simulation and experimental results are presented to validate the proposed tracking algorithms.
Book Synopsis Advances in Image and Video Technology by : Toshikazu Wada
Download or read book Advances in Image and Video Technology written by Toshikazu Wada and published by Springer Science & Business Media. This book was released on 2009-02-13 with total page 1140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Pacific Rim Symposium on Image and Video Technology, PSIVT 2008, held in Tokyo, Japan, in January 2009. The 39 revised full papers and 57 posters were carefully reviewed and selected from 247 submissions. The symposium features 8 major themes including all aspects of image and video technology: image sensors and multimedia hardware; graphics and visualization; image and video analysis; recognition and retrieval; multi-view imaging and processing; computer vision applications; video communications and networking; and multimedia processing. The papers are organized in topical sections on faces and pedestrians; panoramic images; local image analysis; organization and grouping; multiview geometry; detection and tracking; computational photography and forgeries; coding and steganography; recognition and search; and reconstruction and visualization.
Book Synopsis Computer Vision - ECCV 2008 by : David Forsyth
Download or read book Computer Vision - ECCV 2008 written by David Forsyth and published by Springer. This book was released on 2008-10-14 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
Book Synopsis Object Categorization by : Sven J. Dickinson
Download or read book Object Categorization written by Sven J. Dickinson and published by Cambridge University Press. This book was released on 2009-09-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique multidisciplinary perspective on the problem of visual object categorization.
