Recovery of the Three-dimensional Shape of an Object from a Single View
| Author | : Takeo Kanade |
| Publisher | : |
| Total Pages | : 43 |
| Release | : 1979 |
| Genre | : Image processing |
| ISBN | : |
Recovery Of The Three Dimensional Shape Of An Object From A Single View
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Three-Dimensional Computer Vision
| Author | : Yoshiaki Shirai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 308 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642824293 |
The purpose of computer vision is to make computers capable of understanding environments from visual information. Computer vision has been an interesting theme in the field of artificial intelligence. It involves a variety of intelligent information processing: both pattern processing for extraction of meaningful symbols from visual information and symbol processing for determining what the symbols represent. The term "3D computer vision" is used if visual information has to be interpreted as three-dimensional scenes. 3D computer vision is more challenging because objects are seen from limited directions and some objects are occluded by others. In 1980, the author wrote a book "Computer Vision" in Japanese to introduce an interesting new approach to visual information processing developed so far. Since then computer vision has made remarkable progress: various rangefinders have become available, new methods have been developed to obtain 3D informa tion, knowledge representation frameworks have been proposed, geometric models which were developed in CAD/CAM have been used for computer vision, and so on. The progress in computer vision technology has made it possible to understand more complex 3 D scenes. There is an increasing demand for 3D computer vision. In factories, for example, automatic assembly and inspection can be realized with fewer con straints than conventional ones which employ two-dimensional computer vision.
Three-Dimensional Shape Recovery from Image Focus
| Author | : Muhammad Tariq Mahmood |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 120 |
| Release | : 2012-08 |
| Genre | : |
| ISBN | : 9783659210150 |
Inferring three-dimensional (3D) shape of real objects from visual information belongs to the main domain of the computer vision applications. Shape From Focus (SFF) is one of the passive methods that uses focus as a cue to infer the 3D structure of the object. In SFF, the objective is to find out the depth by measuring the distance of well-focused position of each object point from the camera lens. A sequence of images is acquired either by displacing the object in small steps or by changing the focal length of the lens in the camera. First, a focus measure, which is a criterion that can effectively measure the focus quality, is applied on each image pixel of the sequence. An initial depth map is obtained by maximizing the focus measure along the optical axis. In order to refine the initial depth estimate, different approximation and machine learning techniques have been used. In this book, various focus measures and SFF techniques based on machine learning approaches are discussed.
Symmetry, Causality, Mind
| Author | : Michael Leyton |
| Publisher | : MIT Press |
| Total Pages | : 644 |
| Release | : 1992 |
| Genre | : Philosophy |
| ISBN | : 9780262621311 |
In this investigation of the psychological relationship between shape and time, Leyton argues compellingly that shape is used by the mind to recover the past and as such it forms a basis for memory. Michael Leyton's arguments about the nature of perception and cognition are fascinating, exciting, and sure to be controversial. In this investigation of the psychological relationship between shape and time, Leyton argues compellingly that shape is used by the mind to recover the past and as such it forms a basis for memory. He elaborates a system of rules by which the conversion to memory takes place and presents a number of detailed case studies--in perception, linguistics, art, and even political subjugation--that support these rules. Leyton observes that the mind assigns to any shape a causal history explaining how the shape was formed. We cannot help but perceive a deformed can as a dented can. Moreover, by reducing the study of shape to the study of symmetry, he shows that symmetry is crucial to our everyday cognitive processing. Symmetry is the means by which shape is converted into memory. Perception is usually regarded as the recovery of the spatial layout of the environment. Leyton, however, shows that perception is fundamentally the extraction of time from shape. In doing so, he is able to reduce the several areas of computational vision purely to symmetry principles. Examining grammar in linguistics, he argues that a sentence is psychologically represented as a piece of causal history, an archeological relic disinterred by the listener so that the sentence reveals the past. Again through a detailed analysis of art he shows that what the viewer takes to be the experience of a painting is in fact the extraction of time from the shapes of the painting. Finally he highlights crucial aspects of the mind's attempt to recover time in examples of political subjugation.
Perception as Bayesian Inference
| Author | : David C. Knill |
| Publisher | : Cambridge University Press |
| Total Pages | : 530 |
| Release | : 1996-09-13 |
| Genre | : Computers |
| ISBN | : 1316582523 |
Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. This 1996 book provides an introduction to and critical analysis of the Bayesian paradigm. Leading researchers in computer vision and experimental vision science describe general theoretical frameworks for modelling vision, detailed applications to specific problems and implications for experimental studies of human perception. The book provides a dialogue between different perspectives both within chapters, which draw on insights from experimental and computational work, and between chapters, through commentaries written by the contributors on each others' work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.
Computer Analysis of Images and Patterns
| Author | : Dmitry Chetverikov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 886 |
| Release | : 1993-08-30 |
| Genre | : Technology & Engineering |
| ISBN | : 9783540572336 |
This volume constitutes the proceedings of the 5th International Conference on Computer Analysis of Images and Patterns (CAIP'93), held in Budapest, Hungary, in September 1993. Formerly, the events in this biennial conference series were thought as a forum where East European researchers and professionals from academia and industry had an opportunity to discuss their results and ideas with Western colleagues active in image processing and pattern recognition. Now, CAIP'93 has a much more international scope, and in the future these conferences will not any longertake place only in East European countries, but roam throughout whole Europe. Besides invited talks by Belikova, Gimel'farb, Haralick and Roska, the volume contains 114 contributions, either presented as lectures or posters and carefully selected by a highly competent international program committee from a total of some 230 submissions; thus the book gives a thorough survey on recent research results and their applications in image processing and pattern recognition. The proceedings is organized in 20 sections, for example on image data structures, image processing, edges and contours, Hough transforms and related methods, shape, motion, 3-D vision, character recognition and document processing, biomedical applications, industrial applications, and neural networks.
Advances in Computer Graphics
| Author | : Gerald Garcia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 451 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642762867 |
This book is a collection of several tutorials from the EUROGRAPHICS '90 conference in Montreux. The conference was held under the motto "IMAGES: Synthesis, Analysis and Interaction", and the tutorials, partly presented in this volume, reflect the conference theme. As such, this volume provides a unique collection of advanced texts on 'traditional' com puter graphics as well as of tutorials on image processing and image reconstruction. As with all the volumes of the series "Advances in Computer Graphics", the contributors are leading experts in their respective fields. The chapter Design and Display of Solid Models provides an extended introduction to interactive graphics techniques for design, fast display, and high-quality rendering of solid models. The text focuses on techniques for Constructive Solid Geometry (CSG). The follow ing topics are treated in depth: interactive design techniques (specification of curves, surfaces and solids; graphical user interfaces; procedural languages and direct manipulation) and display techniques (depth-buffer, scan-line and ray-tracing techniques; CSG classification techniques; efficiency-improving methods; software and hardware implementations).
Pattern Analysis
| Author | : H. Niemann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 316 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642966500 |
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
Spatial Coherence for Visual Motion Analysis
| Author | : W. James MacLean |
| Publisher | : Springer |
| Total Pages | : 147 |
| Release | : 2006-03-04 |
| Genre | : Computers |
| ISBN | : 3540325344 |
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, 2004, held in May 2004. The eleven revised full research papers presented went through two rounds of reviewing and improvement. The papers in this volume cover a wide range in the field of motion analysis that is a central problem in computer vision. The workshop examined techniques for integrating spatial coherence constraints during motion analysis of image sequences.
Shadows and Silhouettes in Computer Vision
| Author | : S.A. Shafer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 205 |
| Release | : 2013-03-09 |
| Genre | : Computers |
| ISBN | : 1475718454 |
