Download or read book Representation and Incremental Construction of a Three Dimensional Scene Model written by Martin Herman and published by . This book was released on 1985 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Techniques for 3 D Machine Perception written by A. Rosenfeld and published by Elsevier. This book was released on 1986-02-01 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Techniques for 3-D Machine Perception
Download or read book 3D Dynamic Scene Analysis written by Zhengyou Zhang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique).
Download or read book Incremental Acquisition of a Three dimensional Scene Model from Images written by Martin Herman and published by . This book was released on 1982 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe the current state of the 3D Mosaic project, whose goal is to incrementally acquire a 3D model of a complex urban scene from images. The notion of incremental acquisition arises from the observations that (1) single images contain only partial information about a scene, (2) complex images are difficult to fully interpret, and (3) different features of a given scene tend to be easier to extract in different images because of differences in viewpoint and lighting conditions. In our approach, multiple images of the scene are sequentially analyzed so as to incrementally construct the model. Each new image provides information which refines the model. We describe some experiments toward this end. Our method of extracting 3D shape information from the images is stereo analysis. Because we are dealing with urban scenes, a junction-based matching technique proves very useful. This technique produces rather sparse wire-frame descriptions of the scene. A reasoning system that relies on task-specific knowledge generates an approximate model of the scene from the stereo output. Gray scale information is also acquired for the faces in the model. Finally, we describe an experiment in combining two views of the scene to obtain a refined model. (Author).
Download or read book Readings in Computer Vision written by Martin A. Fischler and published by Elsevier. This book was released on 2014-06-28 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems: - Reconstructing 3D scenes from 2D images - Decomposing images into their component parts - Recognizing and assigning labels to scene objects - Deducing and describing relations among scene objects - Determining the nature of computer architectures that can support the visual function - Representing abstractions in the world of computer memory - Matching stored descriptions to image representation Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.
Download or read book Image Understanding Workshop written by and published by . This book was released on 1988 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Incremental Construction of 3 D Models of a Scene from Sequentially Planned Views microform written by Xie, Shun-en and published by National Library of Canada. This book was released on 1986 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sensor Based Robots Algorithms and Architectures written by C.S.George Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp (i. e. , in a structured environment). For many present industrial applications, this level of performance has been adequate. With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1) efficient acquisition and processing of intemaVextemal sensory information, 2) utilization and integration of sensory information from various sensors (tactile, force, and vision) to acquire knowledge in a changing environment, 3) exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4) system integration into a working and functioning robotic system. This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and problems associated with sensor-based robot manipulators and to propose approaches and solutions from various viewpoints in improving present day robot manipula tors in the areas of sensor fusion and integration, sensory information processing, and parallel algorithms and architectures for robotic computations.
Download or read book Techniques for 3 D Machine Perception written by Azriel Rosenfeld and published by North Holland. This book was released on 1986 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental implementation of a ratio image depth sensor. The representation, recognition, and positioning of 3-D shapes from range data. Stereo vision for the acquisition and tracking of moving three-dimensional objects. Computing stereopsis using feature point contour matching. Model-based recognition and localization from sparse range data. Representation and incremental construction of a three-dimensional scene model. Knowledge-based stereo and structured light for 3-D robot vision. Model based interpretation of 3-D range data. Multiple resolution search techniques for the hough tranform in high dimensional parameter spaces. The use of numerical relational distance and symbolic differences for organizing models and for matching. Three dimensional object recognition using oriented model points.
Download or read book Dynamic 3D Scene Analysis and Modeling with a Time of flight Camera written by Ingo Schiller and published by BoD – Books on Demand. This book was released on 2011 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Viele Anwendungen des Maschinellen Sehens benötigen die automatische Analyse und Rekonstruktion von statischen und dynamischen Szenen. Deshalb ist die automatische Analyse von dreidimensionalen Szenen und Objekten ein Bereich der intensiv erforscht wird. Die meisten Ansätze konzentrieren sich auf die Rekonstruktion statischer Szenen, da die Rekonstruktion nicht-statischer Geometrien viel herausfordernder ist und voraussetzt, dass dreidimensionale Szeneninformation mit hoher zeitlicher Auflösung verfügbar ist. Statische Szenenanalyse wird beispielsweise in der autonomen Navigation, für die Überwachung und für die Erhaltung des Kulturerbes eingesetzt. Andererseits eröffnet die Analyse und Rekonstruktion nicht-statischer Geometrie viel mehr Möglichkeiten, nicht nur für die bereits erwähnten Anwendungen. In der Produktion von Medieninhalten für Film und Fernsehen kann die Analyse und die Aufnahme und Wiedergabe von vollständig dreidimensionalen Inhalten verwendet werden um neue Ansichten realer Szenen zu erzeugen oder echte Schauspieler durch animierte virtuelle Charaktere zu ersetzen. Die wichtigste Voraussetzung für die Analyse von dynamischen Inhalten ist die Verfügbarkeit von zuverlässigen dreidimensionalen Szeneninformationen. Um die Entfernung von Punkten in der Szene zu bestimmen wurden meistens Stereo-Verfahren eingesetzt, aber diese Verfahren benötigen viel Rechenzeit und erreichen in Echtzeit nicht die benötigte Qualität. In den letzten Jahren haben die so genannten Laufzeitkameras das Stadium der Prototypen verlassen und sind jetzt in der Lage dichte Tiefeninformationen in vernünftiger Qualität zu einem vernünftigen Preis zu liefern. Diese Arbeit untersucht die Eignung dieser Kameras für die Analyse nicht-statischer dreidimensionaler Szenen. Bevor eine Laufzeitkamera für die Analyse eingesetzt werden kann muss sie intern und extern kalibriert werden. Darüber hinaus leiden Laufzeitkameras an systematischen Fehlern bei der Entfernungsmessung, bedingt durch ihr
Download or read book Begr ndungsverwaltung written by Herbert Stoyan and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses Buch enthält die schriftlichen Ausarbeitungen von Vorträgen, die am 9. Oktober 1986 auf einem Workshop über Reason Maintenance gehalten worden sind. Der Begriff Begründungsverwaltung als Übersetzung von Reason Maintenance soll die Gleichzeitigkeit der Aspekte der Speicherung und Aufbewahrung der Begründungen und der Erhaltung der Gültigkeit von Aussagen auf Grund der gültigen Begründungen ausdrücken. Reason Maintenance ist eine Fortführung und Verallgemeinerung von Truth Maintenance. Truth-Maintenance-Systeme sind Programmsysteme, die Speicher von Aussagen realisieren, die weitgehend nur auf aussagenlogischer Ebene formalisiert sind. Sie verwalten Aussagenmengen und ihre Bewertungen. Annahmen und einfache Konsequenzen aus ihnen werden in einer Weise aufbewahrt, da€ eine widerspruchsfreie Aussagenmenge zu jedem konkreten Zeitpunkt erkennbar ist. Die Technik, mit der dieses Ziel erreicht wird, besteht in der Repräsentation der Beziehungen zwischen den Aussagen und in der Aufbewahrung der Prämissen, Implikationen und Schlu€regeln, die zur Ableitung einer bestimmten Aussage verwendet worden sind. Der Zweck dieser Systeme ist demnach Konsistenzerhaltung durch Begründungsverwaltung. Die vorliegenden Arbeiten repräsentieren den deutschen Wissensstand auf diesem Teilgebiet der Künstlichen Intelligenz unter Betonung des Ansatzes von de Kleer. Damit führt dieser Band den Leser an wesentliche aktuelle Forschungsergebnisse heran.
Download or read book Geometric Reasoning written by Deepak Kapur and published by Bradford Book. This book was released on 1989 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometry is at the core of understanding and reasoning about the form of physical objects and spatial relations which are now recognized to be crucial to many applications in artificial intelligence. The 20 contributions in this book discuss research in geometric reasoning and its applications to robot path planning, vision, and solid modeling. During the 1950s when the field of artificial intelligence was emerging, there were significant attempts to develop computer programs to mechanically perform geometric reasoning. This research activity soon stagnated because the classical AI approaches of rule based inference and heuristic search failed to produce impressive geometric, reasoning ability. The extensive research reported in this book, along with supplementary review articles, reflects a renaissance of interest in recent developments in algebraic approaches to geometric reasoning that can be used to automatically prove many difficult plane geometry theorems in a few seconds on a computer. Deepak Kapur is Professor in the Department of Computer Science at the State University of New York Albany. Joseph L. Mundy is a Coolidge Fellow at the Research and Development Center at General Electric. Geometric Reasoningis included in the series Special Issues from Artificial Intelligence: An International Journal. A Bradford Book
Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Santhanam and published by Springer Nature. This book was released on 2022-05-31 with total page 147 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 Three dimensional Scene Representation Using Structured Light written by Gongzhu Hu and published by . This book was released on 1988 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Artificial Intelligence Compendium Abstracts I written by and published by Scientific Datalink. This book was released on 1988 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Three Dimensional Model Analysis and Processing written by Faxin Yu and published by Springer Science & Business Media. This book was released on 2011-02-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing popularization of the Internet, together with the rapid development of 3D scanning technologies and modeling tools, 3D model databases have become more and more common in fields such as biology, chemistry, archaeology and geography. People can distribute their own 3D works over the Internet, search and download 3D model data, and also carry out electronic trade over the Internet. However, some serious issues are related to this as follows: (1) How to efficiently transmit and store huge 3D model data with limited bandwidth and storage capacity; (2) How to prevent 3D works from being pirated and tampered with; (3) How to search for the desired 3D models in huge multimedia databases. This book is devoted to partially solving the above issues. Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space and transmission bandwidth. On the downside, compressed data must be decompressed to be used, and this extra processing may be detrimental to some applications. 3D polygonal mesh (with geometry, color, normal vector and texture coordinate information), as a common surface representation, is now heavily used in various multimedia applications such as computer games, animations and simulation applications. To maintain a convincing level of realism, many applications require highly detailed mesh models. However, such complex models demand broad network bandwidth and much storage capacity to transmit and store. To address these problems, 3D mesh compression is essential for reducing the size of 3D model representation.
Download or read book Selected Papers on Model based Vision written by Hatem N. Nasr and published by SPIE-International Society for Optical Engineering. This book was released on 1993 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
