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 Automatic Reconstruction of Textured 3D Models written by Benjamin Pitzer and published by . This book was released on 2020-10-09 with total page 176 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Download or read book Textured 3D Models written by Hatem Ibrahim Mahmoud Rashwan and published by . This book was released on 2011-11 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reconstruction of Software Component Architectures and Behaviour Models Using Static and Dynamic Analysis written by Benjamin Pitzer and published by . This book was released on 2012 with total page 0 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 3D Surface Reconstruction written by Francesco Bellocchio and published by Springer Science & Business Media. This book was released on 2012-10-28 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.
Download or read book A Framework for Realtime 3 D Reconstruction by Space Carving Using Graphics Hardware written by Christian Nitschke and published by diplom.de. This book was released on 2007-03-05 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inhaltsangabe:Introduction: Reconstruction of real-world scenes from a set of multiple images is a topic in Computer Vision and 3D Computer Graphics with many interesting applications. There is a relation to Augmented and Mixed Reality (AR/MR), Computer-Supported Collaborative Work (CSCW), Computer-Aided industrial/architectural Design (CAD), modeling of the real-world (e.g. computer games, scenes/effects in movies), entertainment (e.g. 3D TV/Video) and recognition/analyzing of real-world characteristics by computer systems and robots. There exists a powerful algorithm theory for shape reconstruction from arbitrary viewpoints, called shape from photo-consistency. However, it is computationally expensive and hence can not be used with applications in the field of 3D video or CSCW as well as interactive 3D model creation. Attempts have been made to achieve real-time framerates using PC cluster systems. While these provide enough performance they are also expensive and less flexible. Approaches that use GPU hardware-acceleration on single workstations achieve interactive framerates for novel-view synthesis, but do not provide an explicit volumetric representation of the whole scene. The proposed approach shows the efforts in developing a GPU hardware-accelerated framework for obtaining the volumetric photo hull of a dynamic 3D scene as seen from multiple calibrated cameras. High performance is achieved by employing a shape from silhouette technique in advance to obtain a tight initial volume for shape from photo-consistency. Also several speed-up techniques are presented to increase efficiency. Since the entire processing is done on a single PC, the framework can be applied to mobile setups, enabling a wide range of further applications. The approach is explained using programmable vertex and fragment processors and compared to highly optimized CPU implementations. It is shown that the new approach can outperform the latter by more than one magnitude. The thesis is organized as follows: Chapter 1 contains an introduction, giving an overview with classification of related techniques, statement of the main problem, novelty of the proposed approach and its fields of application. Chapter 2 surveys related work in the area of dynamic scene reconstruction by shape from silhouette and shape from photo-consistency. The focus lies on high performance reconstruction and hardware-acceleration. Chapter 3 introduces the theoretical basis for the proposed [...]
Download or read book Reconstruction of Dynamic Articulated 3D Models from Range Scans written by William Young Chang and published by . This book was released on 2009 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our vision is to enable efficient acquisition and synthesis of highly detailed 3D surface models that are also easy to animate in a plausible and realistic way. The state-of-the-art surface acquisition technology is range scanning, which can measure surface geometry with a high degree of accuracy and speed. However, the output is only a partial view of the surface that has much missing data, and there is no tracking of the surface motion in the case of a moving subject. To reconstruct a complete model of the subject, we must align multiple range scans taken from different times and viewpoints to fill in the missing data and track the motion of the surface. At the same time, we would like to fit a reduced deformable model that expresses the surface motion in terms of a few intuitive parameters. In this dissertation, we develop algorithms to process and align multiple range scans of a moving articulated subject. Our algorithms can automatically align multiple scans to a common pose, thus reconstructing the full geometry of an articulated subject along with a model of its motion. Our methods perform this alignment in a completely unsupervised way: without markers, a template, or a user-defined segmentation of the surface. A key contribution is the use of discrete optimization techniques to automatically estimate the articulated structure of the surface based on its motion. First, we describe a method to align a pair of 3D surfaces that is robust to large motions and much missing data. This algorithm samples rigid transformations between the surfaces and performs an alignment by optimizing an assignment of the transformations to the surface. Its robustness to large motions makes it useful for initializing a registration. Next, we present a technique to automatically fit an articulated surface motion model to a pair of range scans. We efficiently solve for the transformations and weights of this model by repeatedly estimating them in alternating fashion. The key benefit of this approach is that the solved model parameters can be used to easily and intuitively edit the pose of the scanned geometry. Finally, we improve and combine these two approaches to automatically reconstruct an articulated 3D model from multiple range scans. We reduce alignment error by simultaneously solving for the alignment of all input scans. We demonstrate that this method can reconstruct a variety of poseable, articulated 3D models from partial surface data acquired by a range scanner.
Download or read book Automatic Reconstruction of 3D CAD Models from Digital Scans written by Fausto Bernardini and published by . This book was released on 1997 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Digital 3D Reconstruction of Historical Architecture written by Sander Münster and published by Springer Nature. This book was released on with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 3D Synthetic Environment Reconstruction written by Mahdi Abdelguerfi and published by Springer Science & Business Media. This book was released on 2001-04-30 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although synthetic environments were traditionally used in military settings for mission rehearsal and simulations, their use is rapidly spreading to a variety of applications in the commercial, research and industrial sectors, such as flight training for commercial aircraft, city planning, car safety research in real-time traffic simulations, and video games. 3D Synthetic Environment Reconstruction contains seven invited chapters from leading experts in the field, bringing together a coherent body of recent knowledge relating 3D geospatial data collection, design issues, and techniques used in synthetic environments design, implementation and interoperability. In particular, this book describes new techniques for the generation of Synthetic Environments with increased resolution and rich attribution, both essential for accurate modeling and simulation. This book also deals with interoperability of models and simulations, which is necessary for facilitating the reuse of modeling and simulation components. 3D Synthetic Environment Reconstruction is an excellent reference for researchers and practitioners in the field.
Download or read book Reconstruction of Time varying 3D Models Based on Time lapsed Sequences of Images written by Linta Guo and published by . This book was released on 2017 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 3D Model Reconstruction from Image Sequences written by 黎川 and published by . This book was released on 2012 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reconstructing Texture Mapped 3D Models from Laser Scanned Range Images written by Ting-Chung Hung and published by . This book was released on 2004 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 3D Reconstruction written by Josephine Weber and published by Nova Science Publishers. This book was released on 2016 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of three-dimensional reconstruction of objects and scenes has been and remains now a widely researched topic. It has been investigated for many applications, for instance, video game development, animation, movies, virtual reality, teleoperating surgery, among other engineering-related applications. In this book, Chapter One reviews preoperative planning and intraoperative navigation based on 3D modeling for retroperitoneal procedures. Chapter Two discusses fringe pattern analysis using phase shifting techniques applied to solid digitalization in Advanced RISC Machine (ARM) architecture. Chapter Three describes the steps for 3D digitalization using a Fourier Transform Profilometry (FTP). Chapter Four compares different wavelet transform for its use in 3D reconstruction.
Download or read book Automatic Synthesis of Simplified 3D Models from Detailed Data written by Eunyoung Koh and published by . This book was released on 1993 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image based 3D Reconstruction and Articulation of the Human Body Shape and Its Use in the Creation of Virtual Fitting Rooms written by Chenxi Li and published by . This book was released on 2020 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-based 3D shape reconstruction is essential for 3D modeling in recognition, virtual reality, generation of video games, 3D animation, and in the creation of 3D virtual fitting rooms - the sought-after application in this dissertation. In this work, we propose a novel reconstruction method that uses a generic 3D model that roughly controls the overall reconstruction shape which in turn, reduces the number of 2D images needed to just two (frontal and profile) for obtaining a 3D point model. The generic model consists of a massive set of 3D points that lack saliency, topological meaning, and relational interconnections. This is also true about points in the two canonical images. In this work, we propose finding a small set of interconnected ordered intrinsic salient points (control points) residing on the silhouette of the projections of the generic model onto the two image spaces, as well as finding those for the canonical images. Points on the generic model and the images are automatically given saliency with order and interconnections through loop-subdivision operating on those control points and their equivalent points on the canonical images. The transformation of the generic model into the specific object is done through morphing the points on the generic model to follow and be consistent with their equivalent points on the canonical images. The control points on the canonical images are automatically obtained using an active shape model (ASM) that modifies an average trained control point set attained using an offline training, to account for class shape variability and boundary regularization guaranteeing the control points to reside on the silhouette (boundary) of the individual. The reconstructed 3D model is furtherly refined through smoothing the reconstructed surface, while fixing local holes using a principle component analysis (PCA) decomposition. This reconstruction method is convenient, simple, efficient, and results in an average geometric error of less than 0.5% over 700 diverse body models from the CAESAR dataset. We then implement the contour-based articulated model to the personalized 3D model for pose recovery. The evolution of the model through the articulation process is captured in a video clip. 3D transformations are found and applied to the 3D model on its parts so that the projections of the 3D model 'match' those observed in the video sequence at corresponding frames. This is done by minimizing the error between the frontal projection body region points and the target points from the image for each independent moving part, with sub-resolution recovery errors. Once the personalized 3D model is obtained and the articulated model is implemented, the algorithm simulates how garments virtually appear on the reconstructed person under different poses. Different types of clothes are classified as tight or loose, where for the first type of garments, the garment is mapped onto the person's body, whereas for the second type, the mapping adjusts to accommodate the loose nature of the garment, and its fitting on the body of the reconstructed person model. This creates a virtual in-home fitting room for garment fitting, which is timely and is a needed application that would go hand in hand with online clothes shopping, allowing the trying of garments at home with changing poses before ordering them, and can be updated as often as necessary to accommodate changes in physique, weight, aging, etc. This is also done with minimum requirements from the user aside from taking two images and a video of pose articulations using their cam or smart phone, and stands as a useful, needed, and attractive App.
Download or read book Preprocessing and Feature Tracking for Reconstruction of 3D Models written by Yong Zhang and published by . This book was released on 2000 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
