Download or read book Three dimensional Object Reconstruction from Range Images written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This research work focuses on reconstructing surface models from range images of three-dimensional (3D) objects. This problem of surface reconstruction from range images is very important in the design of any 3D computer vision system and normally consists of several phases of data processing. This work presents novel algorithms to provide efficient solutions used in the following four key phases: data acquisition, data registration from multiple views, data integration, and surface reconstruction. In the phase of data acquisition, two model-based approaches, the area model (AM) and line model (LM), are proposed to model the systematical error of a given ranging system (4DI system), and error lookup table is built with these models and used to reduce the systematical error of acquired data. In the phase of data registration, a registration method involving geometric transformation is presented for reconstructing large object from multiple views with high accuracy. The algorithm provides highly precise numerical values for the elements of the transformation matrices. These values are determined by the specific system parameters estimated through carefully designed tests. In the phase of data integration, a novel data integration approach which is based on predefined criteria and the nearest neighbor searching is developed. Our method manipulates surface points directly, thus, it provides a simple and fast way for overlap removal. In the phase of surface reconstruction, an algorithm for meshing is proposed. It considers the shape change at the boundary of mesh area and forces mesh area to propagate according to a priority driven based strategy. New criteria for triangulation are developed to construct triangle at each step of mesh growing. All these approaches are successfully applied to various range data sets of objects with different geometrical shapes.

Download or read book Advances in Computational Vision and Medical Image Processing written by Joao Tavares and published by Springer Science & Business Media. This book was released on 2008-12-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Download or read book Image Based 3D Reconstruction of Dynamic Objects Using Instance Aware Multibody Structure from Motion written by Bullinger, Sebastian and published by KIT Scientific Publishing. This book was released on 2020-08-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.

Download or read book Three Dimensional Object Recognition from Range Images written by Minsoo Suk and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.

Download or read book Reconstruction of a Three dimensional Object written by Heang Kim Tuy and published by . This book was released on 1983 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reconstruction and Analysis of 3D Scenes written by Martin Weinmann and published by Springer. This book was released on 2016-03-17 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

Download or read book Three dimensional Object Reconstruction Using Structured Light and Two Two dimensional Images written by Philippe Lavoie and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For machine vision and for graphical representation of real objects in a computer environment, the three-dimensional (3D) reconstruction of the image of a real object has become a key technique. A few methods such as range finding, which use laser scanners, computer tomography, based on CTR or MRI machines, computational stereo, etc. were developed. Computational stereo is broadly defined as the recovery of 3D characteristics of a scene from a series of images obtained from different points in the three dimensional (Euclidean) space. In this thesis, a new algorithm and system is introduced and developed for the 3D reconstruction of the images of real objects from two 2D images required with two cameras. The algorithm is based on a new matching method, a new procedure for the determination of the fundamental matrix used in stereo vision, and a new technique for stereo fusion. The novelty of the matching procedure, and of the determination of the camera alignment, consists of the projection of a structured light pattern on the real object, the pattern being created using a pseudo-random encoded mesh (PRBA) (34). The novelty of the stereo fusion algorithm consists of the application of the dynamic programming principle (DP) (5) (27) using a cost function which contains the information obtained from the list of matched points. It is also proposed to use an autoregressive (AR) modeling technique for calculating the stereo disparity of each pixel of the two images. The autoregressive filter helps the DP part of the algorithm to calculate the disparity of the pixels when the above pixels are occluded. The above proposed methods offer three distinctive advantages over a conventional stereo system: (1) It easily generates a list of matching points. (2) It adds structure to an object without textures. (3) It is less computational intensive.

Download or read book Innovations in 3D Geo Information Systems written by Alias Abdul-Rahman and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various aspects of spatial data modelling specifically regarding three-dimensional (3D) modelling and structuring. The realization of "true" 3D geoinformation spatial systems requires a high input, and the developmental process is taking place in various research centers and universities around the globe. The development of such systems and solutions, including the modelling theories are presented in this book.

Download or read book Three Dimensional Object Recognition Systems written by Anil K Jain and published by . This book was released on 1993-05-05 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and construction of three-dimensional [3-D] object recognition systems has long occupied the attention of many computer vision researchers. The variety of systems that have been developed for this task is evidence both of its strong appeal to researchers and its applicability to modern manufacturing, industrial, military, and consumer environments. 3-D object recognition is of interest to scientists and engineers in several different disciplines due to both a desire to endow computers with robust visual capabilities, and the wide applications which would benefit from mature and robust vision systems. However, 3-D object recognition is a very complex problem, and few systems have been developed for actual production use; most existing systems have been developed for experimental use by researchers only. This edited collection of papers summarizes the state of the art in 3-D object recognition using examples of existing 3-D systems developed by leading researchers in the field. While most chapters describe a complete object recognition system, chapters on biological vision, sensing, and early processing are also included. The volume will serve as a valuable reference source for readers who are involved in implementing model-based object recognition systems, stimulating the cross-fertilisation of ideas in the various domains. The variety of topics on Image Communication is so broad that no one can be a specialist in all the topics, and the whole area is beyond the scope of a single volume, while the requirement of up to date information is ever increasing. This new closed-end book series is intended both as a comprehensive reference for those already active in the area of Image Communication, as well as providing newcomers with a foothold for commencing research. Each volume will comprise a state of the art work on the editor's/author's area of expertise, containing information until now scattered in many journals and proceedings.

Download or read book A 3D object Reconstruction System Integrating Range image Processing and Rapid Prototyping written by Carnegie-Mellon University. Robotics Institute and published by . This book was released on 1990 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finally, this prototype is used as a pattern in a thermal spray process to build a metal-faced die replica of the original object. The system is demonstrated by scanning a human face which is then replicated as a stainless-steel sculpture."

Download or read book Recent Advances in 3D Imaging Modeling and Reconstruction written by Voulodimos, Athanasios and published by IGI Global. This book was released on 2020-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.

Download or read book 3 D Surface Geometry and Reconstruction Developing Concepts and Applications written by Chandra Pati, Umesh and published by IGI Global. This book was released on 2012-02-29 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides developers and scholars with an extensive collection of research articles in the expanding field of 3D reconstruction, investigating the concepts, methodologies, applications and recent developments in the field of 3D reconstruction"--

Download or read book Remote Sensing and Reconstruction for Three dimensional Objects and Scenes written by Toni Schenk (F.) and published by . This book was released on 1995 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensing and Reconstruction of Three dimensional Objects and Scenes written by Bernd Girod and published by SPIE-International Society for Optical Engineering. This book was released on 1990 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Reconstruction of Textured 3D Models written by Pitzer, Benjamin and published by KIT Scientific Publishing. This book was released on 2015-03-23 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three dimensional modeling and visualization of environments is an increasingly important problem. This work addresses the problem of automatic 3D reconstruction and we present a system for unsupervised reconstruction of textured 3D models in the context of modeling indoor environments. We present solutions to all aspects of the modeling process and an integrated system for the automatic creation of large scale 3D models.

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 Advances in Photometric 3D Reconstruction written by Jean-Denis Durou and published by Springer Nature. This book was released on 2020-09-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.