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Download or read book Algorithms in 3D Shape Segmentation written by and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: PhD.
Author : Patricio Dario Simari
Publisher :
ISBN 13 : 9780494610947
Total Pages : 268 pages
Book Rating : 4.6/5 (19 download)
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 268 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.
Author : Hamid Laga
Publisher : John Wiley & Sons
ISBN 13 : 1119405106
Total Pages : 368 pages
Book Rating : 4.1/5 (194 download)
Download or read book 3D Shape Analysis written by Hamid Laga and published by John Wiley & Sons. This book was released on 2019-01-07 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis". It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.
Author : Giovanni Bellettini
Publisher : Springer
ISBN 13 : 3662451913
Total Pages : 385 pages
Book Rating : 4.6/5 (624 download)
Download or read book Shape Reconstruction from Apparent Contours written by Giovanni Bellettini and published by Springer. This book was released on 2015-02-25 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivated by a variational model concerning the depth of the objects in a picture and the problem of hidden and illusory contours, this book investigates one of the central problems of computer vision: the topological and algorithmic reconstruction of a smooth three dimensional scene starting from the visible part of an apparent contour. The authors focus their attention on the manipulation of apparent contours using a finite set of elementary moves, which correspond to diffeomorphic deformations of three dimensional scenes. A large part of the book is devoted to the algorithmic part, with implementations, experiments, and computed examples. The book is intended also as a user's guide to the software code appcontour, written for the manipulation of apparent contours and their invariants. This book is addressed to theoretical and applied scientists working in the field of mathematical models of image segmentation.
Author : Victor Adrian Prisacariu
Publisher :
ISBN 13 :
Total Pages : 338 pages
Book Rating : 4.:/5 (933 download)
Download or read book Shape Knowledge for Segmentation and Tracking written by Victor Adrian Prisacariu and published by . This book was released on 2012 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Silvia Biasotti
Publisher : Springer Nature
ISBN 13 : 303179558X
Total Pages : 124 pages
Book Rating : 4.0/5 (317 download)
Download or read book Mathematical Tools for Shape Analysis and Description written by Silvia Biasotti and published by Springer Nature. This book was released on 2022-06-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a guide for researchers and practitioners to the new frontiers of 3D shape analysis and the complex mathematical tools most methods rely on. The target reader includes students, researchers and professionals with an undergraduate mathematics background, who wish to understand the mathematics behind shape analysis. The authors begin with a quick review of basic concepts in geometry, topology, differential geometry, and proceed to advanced notions of algebraic topology, always keeping an eye on the application of the theory, through examples of shape analysis methods such as 3D segmentation, correspondence, and retrieval. A number of research solutions in the field come from advances in pure and applied mathematics, as well as from the re-reading of classical theories and their adaptation to the discrete setting. In a world where disciplines (fortunately) have blurred boundaries, the authors believe that this guide will help to bridge the distance between theory and practice. Table of Contents: Acknowledgments / Figure Credits / About this Book / 3D Shape Analysis in a Nutshell / Geometry, Topology, and Shape Representation / Differential Geometry and Shape Analysis / Spectral Methods for Shape Analysis / Maps and Distances between Spaces / Algebraic Topology and Topology Invariants / Differential Topology and Shape Analysis / Reeb Graphs / Morse and Morse-Smale Complexes / Topological Persistence / Beyond Geometry and Topology / Resources / Bibliography / Authors' Biographies
Author : Prof. Jun Yeh, Tallinn University of Technology, Estonia
Publisher : DEStech Publications, Inc
ISBN 13 : 160595182X
Total Pages : 532 pages
Book Rating : 4.6/5 (59 download)
Download or read book written by Prof. Jun Yeh, Tallinn University of Technology, Estonia and published by DEStech Publications, Inc. This book was released on 2014-07-07 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: amount of new knowledge every day. We have to acknowledge that even the smartest people among us are incapable of familiarizing himself with all these new data. Fortunately, we are only required to deal with a very small amount of that vast number in our work and life. As those who devote himself to the field of information technology and management engineering, I sincerely believe that it is our responsibility to make efforts to accelerate the advance of science in such fields. The 2014 international Conference on Information Technology and Management Engineering, thanks to the hard work of its committee, will be held on April 26 and 27 in Hong Kong. The ITME2014 covers a wide range of topics such as network protocols, information theory and coding theory, network security, management theory, project management, public management, knowledge management etc. It is a great honor to us that numerous people from various countries, including many famous experts and excellent researchers, have shown their interest in this convention and submitted their latest studies to us as their support. Among these studies, we have selected about a hundred to be finally included in this proceeding after reviewing and discussing. We believe that this collection of work will be of great value not only to the participants of ITME2014, but also to those who has a chance of meeting it. The publication of this conference proceedings and the successful opening of ITME2014 owe its credit to a lot of people and institutions, especially the ITME2014 committee, the editors and DEStech Publications. The committee has devoted much time to reviewing the papers submitted to ITME2014, and DEStech Publications publishing those accepted papers. I would like to thank the committee and the press deeply here for their support to ITME2014 and I am eagerly looking forward to another chance for us to be a team again. Finally, let’s wish together that the 2014 International Conference on Information Technology
Author : Evangelos Kalogerakis
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)
Download or read book Machine Learning Algorithms for Geometry Processing by Example written by Evangelos Kalogerakis and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zhouchen Lin
Publisher : Springer Nature
ISBN 13 : 3030317269
Total Pages : 562 pages
Book Rating : 4.0/5 (33 download)
Download or read book Pattern Recognition and Computer Vision written by Zhouchen Lin and published by Springer Nature. This book was released on 2019-10-31 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi’an, China, in November 2019. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.
Author : Elisa Ricci
Publisher : Springer Nature
ISBN 13 : 3030306429
Total Pages : 561 pages
Book Rating : 4.0/5 (33 download)
Download or read book Image Analysis and Processing – ICIAP 2019 written by Elisa Ricci and published by Springer Nature. This book was released on 2019-09-04 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.
Author : Kyle Genova
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.5/5 (152 download)
Download or read book 3D Representations for Learning to Reconstruct and Segment Shapes written by Kyle Genova and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this dissertation is the novel use of shape representations to empower 3D reasoning for reconstruction and segmentation. It is organized into three sections based on application: domain specific shape reconstruction (Chapter 2), general shape reconstruction (Chapter 3), and semantic segmentation (Chapter 4). In each chapter, we outline the setting and related work, and then introduce one or two approaches with a novel use of shape representation.Our key contribution is to use shape representation to enable new types of supervision and improve generalization when learning 3D priors. Because current reconstruction and segmentation methods share the use of learned 3D encoder and decoder architectures, these contributions apply to both tasks.In Chapters 2-4, we demonstrate experimentally that reconstruction and segmentation algorithms benefit from our choices of shape representation. A primary benefit of our approaches is enabling new types of supervision that require some property of the representation to be effective. Domain specific representation enables supervising 3D face reconstruction with a face recognition network for the first time, resulting in provably more recognizable reconstructions (Chapter 2). Our SIF representation learns shape correspondence from only reconstruction supervision (Chapter 3). Large, diverse image collections are already semantically labeled, making it possible to train 3D semantic segmentation models for datasets without point cloud annotations (Chapter 4).A secondary benefit is improved generalization, by deriving better priors from existing supervision. We propose a new shape representation, LDIF, which is trained on existing 3D reconstruction data. LDIF learns robust local priors, improving generalization to unseen classes and shapes (Chapter 3). The addition of image-based supervision in segmentation algorithms improves generalization to cities with no 3D supervision (Chapter 4).We conclude that our choices of representation enable new supervision, better generalization, and learning useful 3D priors from readily available labels (e.g., labeled and unlabeled images, or unlabeled shape collections). We hypothesize that effective future representations will build on this trend by deriving higher level semantic priors from unannotated datasets and other inexpensive sources of supervision (Chapter 5).
Author : Rudolf Mester
Publisher : Springer
ISBN 13 : 3642231233
Total Pages : 490 pages
Book Rating : 4.6/5 (422 download)
Download or read book Pattern Recognition written by Rudolf Mester and published by Springer. This book was released on 2011-09-02 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on object recognition, adverse vision conditions challenge, shape and matching, segmentation and early vision, robot vision, machine learning, and motion. The volume also includes the young researcher's forum, a section where a carefully jury-selected ensemble of young researchers present their Master thesis work.
Author : Vittorio Murino
Publisher : Springer
ISBN 13 : 3319232312
Total Pages : 739 pages
Book Rating : 4.3/5 (192 download)
Download or read book Image Analysis and Processing — ICIAP 2015 written by Vittorio Murino and published by Springer. This book was released on 2015-08-20 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 9279 and 9280 constitutes the refereed proceedings of the 18th International Conference on Image Analysis and Processing, ICIAP 2015, held in Genoa, Italy, in September 2015. The 129 papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in the following seven topical sections: video analysis and understanding, multiview geometry and 3D computer vision, pattern recognition and machine learning, image analysis, detection and recognition, shape analysis and modeling, multimedia, and biomedical applications.
Author : John Krumm
Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (37 download)
Download or read book Space Frequency Shape Inference and Segmentation of 3D Surfaces written by John Krumm and published by . This book was released on 1993 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our algorithm successfully segments images of real texture. We conclude by showing how the space/frequency representation has the potential for unifying several different computer vision algorithms."
Author : Oussama Khatib
Publisher : Springer
ISBN 13 : 3642285724
Total Pages : 919 pages
Book Rating : 4.6/5 (422 download)
Download or read book Experimental Robotics written by Oussama Khatib and published by Springer. This book was released on 2013-08-20 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating papers from the 12th International Symposium on Experimental Robotics (ISER), December 2010, this book examines the latest advances across the various fields of robotics. Offers insights on both theoretical concepts and experimental results.
Author : Jean-Luc Mari
Publisher : John Wiley & Sons
ISBN 13 : 1786300419
Total Pages : 194 pages
Book Rating : 4.7/5 (863 download)
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.
Author : Qixing Huang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (767 download)
Download or read book Optimization Techniques for Segmenting 3D Shapes written by Qixing Huang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing amounts of data describing 3d shapes, geometry processing is becoming extremely important in fields ranging from computer graphics to robotics to medicine to computational biology. A fundamental task in geometry processing is to segment shapes into meaningful parts. Segmentation assists global parameterization, compression, animation and more. Moreover, it is crucial to shape understanding and semantics based object representations, which rely on feature extraction and structure extraction from 3d meshes that represent these objects and shapes. This thesis aims to advance shape segmentation techniques in three directions: joint segmentation of a collection of shapes, segmentation of repeated elements on curved surfaces, and vector field based segmentation. First, we present an approach to segmenting shapes in a heterogenous shape database. By considering multiple shapes in concert, our approach is able to identify meaningful parts despite the lack of strong geometric cues on a particular shape. Likewise, the approach is able to identify coherent single parts even when the geometry of the individual shape suggests the presence of multiple segments. The approach is entirely unsupervised and is based on an integer quadratic programming formulation of the joint segmentation problem. The program optimizes over possible segmentations of individual shapes as well as over possible correspondences between segments from multiple shapes. The integer quadratic program is solved via a linear programming relaxation, using a block coordinate descent procedure that makes the optimization feasible for large databases. We evaluate the presented approach on the Princeton segmentation benchmark and show that joint shape segmentation significantly outperforms single-shape segmentation techniques. Near-regular structures are common in man-made and natural objects. The second approach targets at segmenting the repeating elements of a near-regular structure on a curved surface. The approach proceeds in two steps. In the first step, it computes a near-regular mesh which represents the skeleton of the underlying near-regular structure. We present a sparse integer programming formulation to this problem whose linearized program is both tight and can be efficiently solved. In the second step, the approach segments the repeating elements through consistent region growing, starting at vertices of the near-regular mesh. Finally, we introduce vector-field based shape segmentation, which builds on the dual relationship between generalized Killing vector fields and segmentations. This approach allows us to control segmentations by designing appropriate Killing vector fields. It also features a low dimensional design space and interactive vector field editing. We show the application of this approach in interactive macro-patch segmentation for designing geodesic patterns.
