Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Complex 3d Shape Recovery Using Hybrid Geometric Shape Features In Ahierarchical Shape Segmentation Approach
Download Complex 3d Shape Recovery Using Hybrid Geometric Shape Features In Ahierarchical Shape Segmentation Approach full books in PDF, epub, and Kindle. Read online Complex 3d Shape Recovery Using Hybrid Geometric Shape Features In Ahierarchical Shape Segmentation Approach ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Complex 3D Shape Recovery Using Hybrid Geometric Shape Features in AHierarchical Shape Segmentation Approach by : Hongwei Zheng
Download or read book Complex 3D Shape Recovery Using Hybrid Geometric Shape Features in AHierarchical Shape Segmentation Approach written by Hongwei Zheng and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Smart Product Engineering by : Michael Abramovici
Download or read book Smart Product Engineering written by Michael Abramovici and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: The collection of papers in this book comprises the proceedings of the 23rd CIRP Design Conference held between March 11th and March 13th 2013 at the Ruhr-Universität Bochum in Germany. The event was organized in cooperation with the German Academic Society for Product Development – WiGeP. The focus of the conference was on »Smart Product Engineering«, covering two major aspects of modern product creation: the development of intelligent (“smart”) products as well as the new (“smart”) approach of engineering, explicitly taking into account consistent systems integration. Throughout the 97 papers contained in these proceedings, a range of topics are covered, amongst them the different facets and aspects of what makes a product or an engineering solution “smart”. In addition, the conference papers investigate new ways of engineering for production planning and collaboration towards Smart Product Engineering. The publications provide a solid insight into the pressing issues of modern digital product creation facing increasing challenges in a rapidly changing industrial environment. They also give implicit advice how a “smart” product or engineering solution (processes, methods and tools) needs to be designed and implemented in order to become successful.
Book Synopsis High-fidelity 3D Structure Recovery Using Hybrid Image-based Modelling by : Hoang Minh Nguyen
Download or read book High-fidelity 3D Structure Recovery Using Hybrid Image-based Modelling written by Hoang Minh Nguyen and published by . This book was released on 2015 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of 3D digital models has become a prominent and integral part of many applications ranging from science, engineering, education and architecture to biomedical visualisation and medicine. Traditionally, 3D models are created using modelling tools such as Maya, 3D Max or Blender. Although these applications enable graphic designers to construct highly realistic and complex 3D models, they have a steep learning curve and often require a considerable amount of training and artistic skills to use. These limitations restrict their usability for non-professionals. The introduction of specialised hardware, such as laser scanners, has simplified the creation of digital models from real physical objects. While many of these devices are capable of delivering highfidelity results, they are inherently expensive and typically pose stringent limitations on the dimensions, colours and surface properties of the object to be reconstructed. These fundamental drawbacks hinder their widespread use in practice. This thesis addresses the practical aspects associated with the image-based reconstruction of an intricate 3D scene from an unconstrained and unannotated image sequence. These image sequences can be acquired by a video camera or a handheld digital camera without the need for camera calibration. Once supplied with the input images, our system automatically processes and produces a 3D model. We propose a novel approach, which integrates uncalibrated Structure from Motion (SfM), shape-from-silhouette and shape-from-correspondence, to create a dense scene geometry of the observed scene. The advantage of combining silhouette-based and correspondence-based reconstruction approaches is that the new hybrid system is able to deal with both featureless objects and objects with concave regions. These classes of objects usually pose great difficulty for shape-from-correspondence and shape-from-silhouette approach. As a result, our approach is capable of producing satisfactory results for a large class of objects. Our approach does not require any a priori information about camera and image acquisition parameters. In the second stage, a high quality texture atlas is produced by parameterising the reconstructed objects using a segmentation approach, projecting suitable sections of input images onto the model, and combining them using a graph-cut technique. Holes in the texture atlas due to surface patches without projected input images are filled using a novel exemplar-based inpainting method which exploits appearance space attributes to improve patch search, and blends patches using Poisson-guided interpolation. The reconstructed 3D models sometimes exhibit unsatisfactory and erroneous mesh regions due to inherent properties of typical 3D scenes such as occluded or inaccessible parts, unfavourable lighting conditions, as well as insufficient and poor-quality visual inputs. In order to circumvent these challenges, inaccurate mesh regions must be classified and reconstructed. Mesh classification is achieved through the fusion of three uncertainty measures: geometric distances, normal direction distributions and texture discrepancies. Once successfully identified, these regions are segmented through a boundary-energy minimisation process. The objective here is to ensure that the extracted mesh regions enclose the previously identified low-confidence mesh segments, while at the same time exhibit the lowest possible genus and boundary length as well as demonstrate the highest possible degree of boundary smoothness. Establishing mesh segments with simple shapes enfolding the low-confidence mesh regions plays a vital role for the subsequent step, during which 3D geometric information of these regions is constructed by means of sketch-based modelling. Several evaluations using real and synthetic data demonstrate the robustness and effectiveness of our algorithm in enabling novice users to effortlessly and efficiently create complex 3D content using a standard off-the-shelf consumer-level camera. Our results compare favorably to those acquired by existing techniques.
Book Synopsis Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis by : Jean-Luc Mari
Download or read book Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis written by Jean-Luc Mari and published by John Wiley & Sons. This book was released on 2020-01-02 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional surface meshes are the most common discrete representation of the exterior of a virtual shape. Extracting relevant geometric or topological features from them can simplify the way objects are looked at, help with their recognition, and facilitate description and categorization according to specific criteria. This book adopts the point of view of discrete mathematics, the aim of which is to propose discrete counterparts to concepts mathematically defined in continuous terms. It explains how standard geometric and topological notions of surfaces can be calculated and computed on a 3D surface mesh, as well as their use for shape analysis. Several applications are also detailed, demonstrating that each of them requires specific adjustments to fit with generic approaches. The book is intended not only for students, researchers and engineers in computer science and shape analysis, but also numerical geologists, anthropologists, biologists and other scientists looking for practical solutions to their shape analysis, understanding or recognition problems.
Book Synopsis Algorithms in 3D Shape Segmentation by : Patricio Dario Simari
Download or read book Algorithms in 3D Shape Segmentation written by Patricio Dario Simari and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling tools or acquisition processes such as laser range scanning. While these formats are very flexible and allow the representation of a wide variety of shapes, they are rarely appropriate in their raw form for the range of applications that benefit from their use. Their decomposition into simpler constituting parts is referred to as shape segmentation, and its automation remains a challenging area within computer science. We will present and analyze different aspects of shape segmentation. We begin by looking at useful segmentation criteria and present a categorization of current methods according to which type of criteria they address, dividing them into affinity-based, model-fitting, and property-based approaches. We note within these approaches the variation in segmentations resulting from different criteria and propose a way to generalize the segmentation problem to heterogenous criteria. We introduce a framework and relevant algorithms for multi-objective segmentation of 3D shapes which allow for the incorporation of domain-specific knowledge through multiple objectives, each of which refers to one or more segmentation labels. They can assert properties of an individual part or they can refer to part interrelations. We thus cast the segmentation problem as an optimization minimizing an aggregate objective function which combines all objectives as a weighted sum. We conclude with a summary and discussion of the contributions presented, lessons learned, and a look at the open questions remaining and potential avenues of continued research. We then present two algorithmic contributions in the form of a model-based and a property-based segmentation approaches. These share the goals of automatically finding redundancy in a shape and propose shape representations that leverage this redundancy to achieve descriptive compactness. The first is a method for segmenting a surface into piece-wise ellipsoidal parts, motivated by the fact that most organic objects and many manufactured objects have large curved areas. The second is an algorithm for robustly detecting global and local planar-reflective symmetry and a hierarchical segmentation approach based on this detection method.
Download or read book Science Abstracts written by and published by . This book was released on 1995 with total page 1360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence Abstracts by :
Download or read book Artificial Intelligence Abstracts written by and published by . This book was released on 1991 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Electrical & Electronics Abstracts by :
Download or read book Electrical & Electronics Abstracts written by and published by . This book was released on 1997 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Index to IEEE Publications by : Institute of Electrical and Electronics Engineers
Download or read book Index to IEEE Publications written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1997 with total page 1468 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Engineering Index Annual written by and published by . This book was released on 1992 with total page 2264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its creation in 1884, Engineering Index has covered virtually every major engineering innovation from around the world. It serves as the historical record of virtually every major engineering innovation of the 20th century. Recent content is a vital resource for current awareness, new production information, technological forecasting and competitive intelligence. The world?s most comprehensive interdisciplinary engineering database, Engineering Index contains over 10.7 million records. Each year, over 500,000 new abstracts are added from over 5,000 scholarly journals, trade magazines, and conference proceedings. Coverage spans over 175 engineering disciplines from over 80 countries. Updated weekly.
Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem
Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions
Download or read book CAD/CAM Abstracts written by and published by . This book was released on 1992 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Shape Analysis and Classification by : Luciano da Fontoura Costa
Download or read book Shape Analysis and Classification written by Luciano da Fontoura Costa and published by CRC Press. This book was released on 2010-12-12 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested in the specific problem of shape recognition and characterization, traditio
Book Synopsis Electrospun Nanofibers by : Mehdi Afshari
Download or read book Electrospun Nanofibers written by Mehdi Afshari and published by Woodhead Publishing. This book was released on 2016-09-13 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrospun Nanofibers covers advances in the electrospinning process including characterization, testing and modeling of electrospun nanofibers, and electrospinning for particular fiber types and applications. Electrospun Nanofibers offers systematic and comprehensive coverage for academic researchers, industry professionals, and postgraduate students working in the field of fiber science. Electrospinning is the most commercially successful process for the production of nanofibers and rising demand is driving research and development in this field. Rapid progress is being made both in terms of the electrospinning process and in the production of nanofibers with superior chemical and physical properties. Electrospinning is becoming more efficient and more specialized in order to produce particular fiber types such as bicomponent and composite fibers, patterned and 3D nanofibers, carbon nanofibers and nanotubes, and nanofibers derived from chitosan. Provides systematic and comprehensive coverage of the manufacture, properties, and applications of nanofibers Covers recent developments in nanofibers materials including electrospinning of bicomponent, chitosan, carbon, and conductive fibers Brings together expertise from academia and industry to provide comprehensive, up-to-date information on nanofiber research and development Offers systematic and comprehensive coverage for academic researchers, industry professionals, and postgraduate students working in the field of fiber science
Book Synopsis Multiple View Geometry in Computer Vision by : Richard Hartley
Download or read book Multiple View Geometry in Computer Vision written by Richard Hartley and published by Cambridge University Press. This book was released on 2004-03-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Book Synopsis Functional Imaging and Modeling of the Heart by : Daniel B. Ennis
Download or read book Functional Imaging and Modeling of the Heart written by Daniel B. Ennis and published by Springer. This book was released on 2021-06-18 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford. The 65 revised full papers were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: advanced cardiac and cardiovascular image processing; cardiac microstructure: measures and models; novel approaches to measuring heart deformation; cardiac mechanics: measures and models; translational cardiac mechanics; modeling electrophysiology, ECG, and arrhythmia; cardiovascular flow: measures and models; and atrial microstructure, modeling, and thrombosis prediction.
Book Synopsis Shape Analysis in Medical Image Analysis by : Shuo Li
Download or read book Shape Analysis in Medical Image Analysis written by Shuo Li and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
