3D Reconstruction: Real-time Volumetric Scene Reconstruction from Multiple Views

Nitschke, Christian

Business & Money

AV Akademikerverlag

<p>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.</p>

3D Reconstruction

Computers & Technology

Software

VDM Verlag Dr. Mueller e.K.

Diplomarbeit, die am 06.12.2006 erfolgreich an einer Universität in Deutschland im Fachbereich Medien eingereicht wurde. 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...

A Framework for Realtime 3-D Reconstruction by Space Carving Using Graphics Hardware

Politics & Social Sciences

Social Sciences

Diplomarbeiten Agentur diplom.de

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