Techniques For 3 D Machine Perception
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Techniques For 3 D Machine Perception
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Author : A. Rosenfeld
language : en
Publisher: Elsevier
Release Date : 1986-02-01
Techniques For 3 D Machine Perception written by A. Rosenfeld and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-02-01 with Computers categories.
Techniques for 3-D Machine Perception
Representations And Techniques For 3d Object Recognition And Scene Interpretation
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Author : Derek Hoiem
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011-09-09
Representations And Techniques For 3d Object Recognition And Scene Interpretation written by Derek Hoiem and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-09 with Technology & Engineering categories.
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
3d Dynamic Scene Analysis
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Author : Zhengyou Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
3d Dynamic Scene Analysis written by Zhengyou Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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).
Robust Methods For Dense Monocular Non Rigid 3d Reconstruction And Alignment Of Point Clouds
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Author : Vladislav Golyanik
language : en
Publisher: Springer Nature
Release Date : 2020-06-04
Robust Methods For Dense Monocular Non Rigid 3d Reconstruction And Alignment Of Point Clouds written by Vladislav Golyanik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with Computers categories.
Vladislav Golyanik proposes several new methods for dense non-rigid structure from motion (NRSfM) as well as alignment of point clouds. The introduced methods improve the state of the art in various aspects, i.e. in the ability to handle inaccurate point tracks and 3D data with contaminations. NRSfM with shape priors obtained on-the-fly from several unoccluded frames of the sequence and the new gravitational class of methods for point set alignment represent the primary contributions of this book. About the Author: Vladislav Golyanik is currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. The current focus of his research lies on 3D reconstruction and analysis of general deformable scenes, 3D reconstruction of human body and matching problems on point sets and graphs. He is interested in machine learning (both supervised and unsupervised), physics-based methods as well as new hardware and sensors for computer vision and graphics (e.g., quantum computers and event cameras).
Advances In Machine Vision
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Author : Jorge L.C. Sanz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Advances In Machine Vision written by Jorge L.C. Sanz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Machine Vision technology is becoming an indispensible part of the manufacturing industry. Biomedical and scientific applications of machine vision and imaging are becoming more and more sophisticated, and new applications continue to emerge. This book gives an overview of ongoing research in machine vision and presents the key issues of scientific and practical interest. A selected board of experts from the US, Japan and Europe provides an insight into some of the latest work done on machine vision systems and appliccations.
Machine Perception Of Three Dimensional Solids
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Author : Lawrence G. Roberts
language : en
Publisher: Dissertations-G
Release Date : 1980
Machine Perception Of Three Dimensional Solids written by Lawrence G. Roberts and has been published by Dissertations-G this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Computers categories.
Pattern Analysis And Understanding
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Author : Heinrich Niemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Pattern Analysis And Understanding written by Heinrich Niemann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.
In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years.
Group Theoretical Methods In Image Understanding
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Author : Ken-ichi Kanatani
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Group Theoretical Methods In Image Understanding written by Ken-ichi Kanatani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Image understanding is an attempt to extract knowledge about a 3D scene from 20 images. The recent development of computers has made it possible to automate a wide range of systems and operations, not only in the industry, military, and special environments (space, sea, atomic plants, etc.), but also in daily life. As we now try to build ever more intelligent systems, the need for "visual" control has been strongly recognized, and the interest in image under standing has grown rapidly. Already, there exists a vast body of literature-ranging from general philosophical discourses to processing techniques. Compared with other works, however, this book may be unique in that its central focus is on "mathematical" principles-Lie groups and group representation theory, in particular. In the study of the relationship between the 3D scene and the 20 image, "geometry" naturally plays a central role. Today, so many branches are inter woven in geometry that we cannot truly regard it as a single subject. Neverthe less, as Felix Klein declared in his Erlangen Program, the central principle of geometry is group theory, because geometrical concepts are abstractions of properties that are "invariant" with respect to some group of transformations. In this text, we specifically focus on two groups of transformations. One is 20 rotations of the image coordinate system around the image origin. Such coordi nate rotations are indeed irrelevant when we look for intrinsic image properties.
Digital Mayhem 3d Machine Techniques
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Author : Duncan Evans
language : en
Publisher: CRC Press
Release Date : 2014-10-17
Digital Mayhem 3d Machine Techniques written by Duncan Evans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-17 with Art categories.
From Icy Tundras to Desert savannahs, master the art of landscape and environment design for 2D and 3D digital content. Make it rain, shower your digital scene with a snow storm or develop a believable urban scene with a critical eye for modeling, lighting and composition. Move beyond the limitations of gallery style coffee table books with Digital Mayhem: 3D Landscapes-offering leading professional techniques, groundbreaking inspiration, and artistic mastery from some of the greatest digital artists. More than just a gallery book - each artist has written a breakdown overview, with supporting imagery of how they made their piece of work. Compiled by Duncan Evans, founder and inspiration behind 3DArtist Magazine, start your mentorship into the world of digital art today with some of the greatest digital artists in the world! Develop your landscape and background skills beyond the variety of free online tutorials and apply the most up to date techniques, like colour and contrast enhancements, sharpening, composition, lighting and more! Expand your digital canvas to include a variety of software techniques, tools and workflows featuring Photoshop, Painter, Maya and 3ds Max examples. A source of inspiration for digital artists everywhere: more than 50 artists and 700 stunning color images are showcased with an in-depth companion website that includes professional source files and further technique based skills development.
Progress In Image Analysis And Processing Iii Proceedings Of The 7th International Conference On Image Analysis And Processing
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Author : Sebastiano Impedovo
language : en
Publisher: World Scientific
Release Date : 1994-04-06
Progress In Image Analysis And Processing Iii Proceedings Of The 7th International Conference On Image Analysis And Processing written by Sebastiano Impedovo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-04-06 with categories.
This volume contains the proceedings of the 7ICIAP held in Monopoli, Italy.Some of the Areas Covered Include: Active Vision, Computer Vision System; Data Structures and Representations; Feature Extraction; Geometric Modelling; Human Perception and Computer Vision; Image Analysis; Language for Image Modelling; Processing and Retrieval; Motion Analysis and Time Varying Images; Neurocomputing for Recognition; Parallel Computer Architecture; Pattern Recognition; Picture and Video Coding.