Three-dimensional Object Reconstruction and Analysis Using Stereo-structured Light Ranging

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ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.:/5 (225 download)

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Book Synopsis Three-dimensional Object Reconstruction and Analysis Using Stereo-structured Light Ranging by : Olwen Wee

Download or read book Three-dimensional Object Reconstruction and Analysis Using Stereo-structured Light Ranging written by Olwen Wee and published by . This book was released on 1990 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Three-dimensional Object Reconstruction Using Structured Light and Two Two-dimensional Images

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Three-dimensional Object Reconstruction Using Structured Light and Two Two-dimensional Images by : Philippe Lavoie

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.

Reconstruction and Analysis of 3D Scenes

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Publisher : Springer
ISBN 13 : 3319292463
Total Pages : 250 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Reconstruction and Analysis of 3D Scenes by : Martin Weinmann

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.

3D Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 1447141504
Total Pages : 390 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis 3D Computer Vision by : Christian Wöhler

Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

3D Imaging, Analysis and Applications

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Publisher : Springer Nature
ISBN 13 : 3030440702
Total Pages : 736 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis 3D Imaging, Analysis and Applications by : Yonghuai Liu

Download or read book 3D Imaging, Analysis and Applications written by Yonghuai Liu and published by Springer Nature. This book was released on 2020-09-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.

Image Analysis and Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 3642026117
Total Pages : 977 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Image Analysis and Recognition by : Mohamed Kamel

Download or read book Image Analysis and Recognition written by Mohamed Kamel and published by Springer Science & Business Media. This book was released on 2009-07-07 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Image Analysis and Recognition, ICIAR 2009, held in Halifax, Canada, in July 2009. The 93 revised full papers presented were carefully reviewed and selected from 164 submissions. The papers are organized in topical sections on image and video processing and analysis; image segmentation; image and video retrieval and indexing; pattern analysis and recognition; biometrics face recognition; shape analysis; motion analysis and tracking; 3D image analysis; biomedical image analysis; document analysis and applications.

A NURBS Based 3D Object Reconstruction Using Colour-coded Structured Light

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Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (78 download)

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Book Synopsis A NURBS Based 3D Object Reconstruction Using Colour-coded Structured Light by : Philippe Lavoie

Download or read book A NURBS Based 3D Object Reconstruction Using Colour-coded Structured Light written by Philippe Lavoie and published by . This book was released on 2004 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Time-of-Flight and Structured Light Depth Cameras

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Publisher : Springer
ISBN 13 : 3319309730
Total Pages : 360 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Time-of-Flight and Structured Light Depth Cameras by : Pietro Zanuttigh

Download or read book Time-of-Flight and Structured Light Depth Cameras written by Pietro Zanuttigh and published by Springer. This book was released on 2016-05-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects of the computer vision algorithms needed for the various applications. Real data examples are used in order to show the performances of the various algorithms. The performance and limitations of the depth camera technology are explored, along with an extensive review of the most effective methods for addressing challenges in common applications. Applications covered in specific detail include scene segmentation, 3D scene reconstruction, human pose estimation and tracking and gesture recognition. This book offers students, practitioners and researchers the tools necessary to explore the potential uses of depth data in light of the expanding number of devices available for sale. It explores the impact of these devices on the rapidly growing field of depth-based computer vision.

Close-Range Photogrammetry and 3D Imaging

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110607255
Total Pages : 843 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Close-Range Photogrammetry and 3D Imaging by : Thomas Luhmann

Download or read book Close-Range Photogrammetry and 3D Imaging written by Thomas Luhmann and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-11-18 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third edition of the well-known guide to close-range photogrammetry. It provides a thorough presentation of the methods, mathematics, systems and applications which comprise the subject of close-range photogrammetry, which uses accurate imaging techniques to analyse the three-dimensional shape of a wide range of manufactured and natural objects.

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion

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Publisher : KIT Scientific Publishing
ISBN 13 : 373151012X
Total Pages : 194 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion by : Bullinger, Sebastian

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.

Sensors and Techniques for 3D Object Modeling in Underwater Environments

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Publisher : MDPI
ISBN 13 : 3038422223
Total Pages : 389 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Sensors and Techniques for 3D Object Modeling in Underwater Environments by : Fabio Menna

Download or read book Sensors and Techniques for 3D Object Modeling in Underwater Environments written by Fabio Menna and published by MDPI. This book was released on 2018-09-28 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Sensors and Techniques for 3D Object Modeling in Underwater Environments" that was published in Sensors

An Approach to Coded Structured Light to Obtain Three Dimensional Information

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (65 download)

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Book Synopsis An Approach to Coded Structured Light to Obtain Three Dimensional Information by : Joaquim Salvi Mas

Download or read book An Approach to Coded Structured Light to Obtain Three Dimensional Information written by Joaquim Salvi Mas and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The human visual ability to perceive depth looks like a puzzle. We perceive three-dimensional spatial information quickly and efficiently by using the binocular stereopsis of our eyes and, what is mote important the learning of the most common objects which we achieved through living. Nowadays, modelling the behaviour of our brain is a fiction, that is why the huge problem of 3D perception and further, interpretation is split into a sequence of easier problems. A lot of research is involved in robot vision in order to obtain 3D information of the surrounded scene. Most of this research is based on modelling the stereopsis of humans by using two cameras as if they were two eyes. This method is known as stereo vision and has been widely studied in the past and is being studied at present, and a lot of work will be surely done in the future. This fact allows us to affirm that this topic is one of the most interesting ones in computer vision. The stereo vision principle is based on obtaining the three dimensional position of an object point from the position of its projective points in both camera image planes. However, before inferring 3D information, the mathematical models of both cameras have to be known. This step is known as camera calibration and is broadly describes in the thesis. Perhaps the most important problem in stereo vision is the determination of the pair of homologue points in the two images, known as the correspondence problem, and it is also one of the most difficult problems to be solved which is currently investigated by a lot of researchers. The epipolar geometry allows us to reduce the correspondence problem. An approach to the epipolar geometry is describes in the thesis. Nevertheless, it does not solve it at all as a lot of considerations have to be taken into account. As an example we have to consider points without correspondence due to a surface occlusion or simply due to a projection out of the camera scope. The interest of the thesis is fo.

Computer Analysis of Images and Patterns

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Publisher : Springer
ISBN 13 : 3319231170
Total Pages : 821 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computer Analysis of Images and Patterns by : George Azzopardi

Download or read book Computer Analysis of Images and Patterns written by George Azzopardi and published by Springer. This book was released on 2015-08-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 9256 and 9257 constitutes the refereed proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015. The 138 papers presented were carefully reviewed and selected from numerous submissions. CAIP 2015 is the sixteenth in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields.

Advances in Computational Vision and Medical Image Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 1402090862
Total Pages : 296 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Advances in Computational Vision and Medical Image Processing by : Joao Tavares

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.

Applications of Structured Light to 3D Surface Topography Using Moire Pattern and to 3D Imaging of Phase Objects

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Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis Applications of Structured Light to 3D Surface Topography Using Moire Pattern and to 3D Imaging of Phase Objects by : Haiyun Guo

Download or read book Applications of Structured Light to 3D Surface Topography Using Moire Pattern and to 3D Imaging of Phase Objects written by Haiyun Guo and published by . This book was released on 2021 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional (3D) reconstruction plays an important role in imaging research filed. Structured light technology has been widely used in 3D imaging, recognition and measurement, indicating great industrial and commercial value. In this thesis, a simple and robust technique of Moiré topography with single-image capture and incorporating digital filtering along with a four-step digitally implemented phase-shifting method is introduced for 3D surface mapping. Feature details in the order of tens to hundreds of microns can be achieved using interferometrically generated structured light to illuminate the object surface. The feasibility of this technique is verified experimentally, and applications to metallic surfaces are demonstrated. Next, a simple non-interferometric incoherent light propagation model is introduced to perform 3D profiling of transparent objects with typical thicknesses in the order of mm to cm by analyzing the distorted captured image behind the object. A two-dimensional (2D) cosine fringe is used as the incident reference image, whose periodicity is markedly altered by the shape of the object. By monitoring the local change in the period, the surface profile is simulated and optimized to achieve minimal error with experimental data to determine the final morphology. Besides, core principles of ghost imaging and optical scan holography are also discussed.

RGB-D Image Analysis and Processing

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Publisher : Springer Nature
ISBN 13 : 3030286037
Total Pages : 524 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis RGB-D Image Analysis and Processing by : Paul L. Rosin

Download or read book RGB-D Image Analysis and Processing written by Paul L. Rosin and published by Springer Nature. This book was released on 2019-10-26 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.

Three-Dimensional Object Recognition from Range Images

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Publisher : Springer Science & Business Media
ISBN 13 : 4431682139
Total Pages : 318 pages
Book Rating : 4.4/5 (316 download)

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Book Synopsis Three-Dimensional Object Recognition from Range Images by : Minsoo Suk

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.