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| Author | : Stawros Ladikos |
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| Total Pages | : 0 |
| Release | : 2011 |
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| Release | : 2015 |
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| Author | : Jianwei Ke |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024 |
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Advancements in digital camera technologies have led to significantly smaller camera sensors without compromising imaging quality. This trend opens avenues for replacing single-camera systems with multi-camera arrays, offering benefits such as an expanded field-of-view and 3D information. However, camera arrays require additional processing to interpret the collected image data. This report addresses two significant algorithmic challenges in developing a camera array. The first challenge involves virtual view generation, which is the task of estimating the image for a virtual camera using image data from multiview cameras. Ideally, if the geometry of the underlying scene is known, the virtual view can be generated by projecting the 3D geometry to the virtual camera. However, finding the 3D geometry of a scene from multiview cameras is an active research topic in Computer Vision. Considering the real-time processing requirement (
| Author | : Dimitris Metaxas |
| Publisher | : Springer |
| Total Pages | : 1161 |
| Release | : 2008-10-30 |
| Genre | : Computers |
| ISBN | : 354085990X |
The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and accepted papers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody ofexpertiseandgeographicalcoverage.All PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.
| Author | : Christian Nitschke |
| Publisher | : diplom.de |
| Total Pages | : 153 |
| Release | : 2007-03-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3956362012 |
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 [...]
| Author | : Samir Shaker |
| Publisher | : |
| Total Pages | : 76 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
Three-dimensional maps are useful in various applications: from games, to augmented reality, to the development of tour guides of important landmarks such as museums or university campuses. The manual creation of such maps is labor intensive and has therefore justified its automation using robots with range sensors such as lasers or robots with cameras. This thesis presents an automated 3D reconstruction system for indoor environments using only one camera on a mobile robot with an algorithm that runs in real-time. It relies on a vision-based Occupancy Grid SLAM (Simultaneous Localization and Mapping) to detect the ground. The novelty of this work is the method in which 3D information is extracted and fed to SLAM. The ground is first detected by fitting planes to salient features in image segments and by determining the height and orientation of those planes. Then on the height of the ground, 3D virtual rays are cast in a multitude of angles starting from the camera center until they reach the edges of the ground segments in the image. Detection of the ground boundaries is done by continually reprojecting each ray from the 3D world to the 2D image plane. Dense depth information can then be suggested from these rays and input to SLAM. Edge detection and line fitting is then used on the SLAM map to extend walls from those edges until they reach the ceiling. The system produces good quality maps and reduces the high computational cost of dense stereo matching by processing only a sparse set of salient features in real-time. Extensive experiments are conducted inside a lab setting and results prove the success of the system.
| Author | : Christian Nitschke |
| Publisher | : VDM Publishing |
| Total Pages | : 135 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 9783836410625 |
Our environment is more and more shaped by the influence of digital media which itself evolves at tremendous pace. A small example: 15 years ago, offthe- shelf computers were only able to cope with flat 2D graphics. Improvements in system design made it possible to process 3D scenes, leading to a powerful contribution to our everyday life. However, such scenes need to be created by experienced artists employing difficult and expensive tools. The increasing demand for realism makes things not easier. At the same time, the rapid improvement of commodity hardware enables the development of low cost systems for 3D photography. How can systems for volumetric scene reconstruction be efficiently designed? How may high quality be combined with real-time processing? And how is it possible to create a lightweight architecture using a single computer? After presenting an introductory overview and sketching a novel approach to scene reconstruction, the author Christian Nitschke gives a survey of related work in high-performance reconstruction by shape from silhouette and shape from photo-consistency. To convey a profound understanding to the reader he explains the fundamentals of scene and camera geometry, image formation, light and color as well as 3D reconstruction from multiple views. The novel approach is then introduced in two steps by mapping a basic algorithm to an advanced algorithm using graphics hardware acceleration. Performance and quality issues are analyzed and discussed in detail. The book aims at software and system engineers, scientists and researchers, technical directors as well as the interested public.
| Author | : Marc Racicot |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
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| Author | : Daniel Knoblauch |
| Publisher | : |
| Total Pages | : 123 |
| Release | : 2011 |
| Genre | : |
| ISBN | : 9781124703541 |
This dissertation introduces the concept of content-oriented 3D reconstruction from image streams. The presented research enables reconstruction algorithms to use content from different stages in the reconstruction pipeline to focus given resources to areas of interest. The content used can come from previous reconstruction results or input images and leads to focused reconstructions, region-of-interest refinements, regions of error extractions or input data filtering. In general content is used to improve reconstruction results by either focusing resources on target objects or filtering input or output data that reduces the quality of the reconstruction. Several case studies for content-oriented 3D reconstructions for two different reconstruction environments are introduced. These two environments consist of a real-time reconstruction used for tele-immersion and structure and motion used for reconstructions from aerial imagery. Information from the present frame and also from previous frames is used to focus the efforts on the reconstruction targets in the case of real-time reconstruction. This focusing is performed in two case studies including real-time stereo as well as volumetric visual hull reconstructions. In the case of the volumetric visual hull, a region-of-interest refinement using content from the initial reconstruction of each frame is introduced to further improve visual results. These approaches lead to high resolution avatar reconstructions at interactive rates. The developed techniques and algorithms were translated into a proof-of-concept system, allowing users to interact with remote collaborators and virtual worlds. Futhermore, content oriented error extraction and factorization for unconstraint dense correspondences and cameras is introduced in the structure and motion environment. This enables either filtering of erroneous results or localized improvements of the reconstruction. A frame decimation approach is introduced that filters the input streams based on their content to avoid ill-posed input data. Both approaches help to reduce errors in the used multi-view reconstructions pipeline. The presented research illustrates that content-based 3D reconstructions from image streams result in higher quality structure extraction while reducing the computational complexity, resulting in increased reconstruction speeds.
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 108 |
| Release | : 2024-05-14 |
| Genre | : Computers |
| ISBN | : |
What is Multi View Three Dimensional Reconstruction 3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: 3D Reconstruction from Multiple Images Chapter 2: Fundamental Matrix (Computer Vision) Chapter 3: Triangulation (Computer Vision) Chapter 4: Perspective-n-Point Chapter 5: Image Stitching Chapter 6: Active Contour Model Chapter 7: Bundle Adjustment Chapter 8: Scale-Invariant Feature Transform Chapter 9: 3D Object Recognition Chapter 10: Camera Auto-Calibration (II) Answering the public top questions about multi view three dimensional reconstruction. (III) Real world examples for the usage of multi view three dimensional reconstruction in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Multi View Three Dimensional Reconstruction.
