1# Library to Find Best eBook for Read
Author : Teck Khim Ng
Release : 1993
Genre : Computer vision
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis 2D Object Recognition in Gray Scale Images by : Teck Khim Ng
Download or read book 2D Object Recognition in Gray Scale Images written by Teck Khim Ng. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yali Amit
Release : 2002
Genre : Computers
Kind : eBook
Book Rating : 945/5 ( reviews)
Book Synopsis 2D Object Detection and Recognition by : Yali Amit
Download or read book 2D Object Detection and Recognition written by Yali Amit. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the computer detection and recognition of 2D objects in gray-level images.
Author : David G. Lowe
Release : 1986
Genre : Computer vision
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Three-dimensional Object Recognition from Single Two-dimensional Images by : David G. Lowe
Download or read book Three-dimensional Object Recognition from Single Two-dimensional Images written by David G. Lowe. This book was released on 1986. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "A computer vision system has been implemented that can recognize three-dimensional objects from unknown view points in single gray-scale images. Unlike most other approaches, the recognition is accomplished without any attempt to reconstruct depth information bottom-up from the visual input. Instead, three other mechanisms are used that can bridge the gap between the two-dimensional image and knowledge of three-dimensional objects. First, a process of perceptual organization is used to form groupings and structures in the image that are likely to be invariant over a wide range of viewpoints. Second, a probabilistic ranking method is used to reduce the size of the search space during model based matching. Finally, a process of spatial correspondence brings the projections of three-dimensional models into direct correspondence with the image by solving for unknown viewpoint and model parameters. A high level of robustness in the presence of occlusion and missing data can be achieved through full application of a viewpoint consistency constraint. It is argued that similar mechanisms and constraints form the basis for recognition in human vision."
Author : Courant Institute of Mathematical Sciences. Computer Science Department
Release : 1986
Genre : Computer vision
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Three-dimensional Object Recognition from Single Two-dimensional Images by : Courant Institute of Mathematical Sciences. Computer Science Department
Download or read book Three-dimensional Object Recognition from Single Two-dimensional Images written by Courant Institute of Mathematical Sciences. Computer Science Department. This book was released on 1986. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "A computer vision system has been implemented that can recognize three-dimensional objects from unknown view points in single gray-scale images. Unlike most other approaches, the recognition is accomplished without any attempt to reconstruct depth information bottom-up from the visual input. Instead, three other mechanisms are used that can bridge the gap between the two-dimensional image and knowledge of three-dimensional objects. First, a process of perceptual organization is used to form groupings and structures in the image that are likely to be invariant over a wide range of viewpoints. Second, a probabilistic ranking method is used to reduce the size of the search space during model based matching. Finally, a process of spatial correspondence brings the projections of three-dimensional models into direct correspondence with the image by solving for unknown viewpoint and model parameters. A high level of robustness in the presence of occlusion and missing data can be achieved through full application of a viewpoint consistency constraint. It is argued that similar mechanisms and constraints form the basis for recognition in human vision."
Author : Marco Alexander Treiber
Release : 2010-07-23
Genre : Computers
Kind : eBook
Book Rating : 359/5 ( reviews)
Book Synopsis An Introduction to Object Recognition by : Marco Alexander Treiber
Download or read book An Introduction to Object Recognition written by Marco Alexander Treiber. This book was released on 2010-07-23. Available in PDF, EPUB and Kindle. Book excerpt: Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum. Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods; explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations; explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics; discusses a broad spectrum of applications, including some examples from commercial products; contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters). Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses. Marco Treiber is a software developer at Siemens Electronics Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.
