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ACTIVE STEREO VISION: DEPTH PERCEPTION FOR NAVIGATION, ENVIRONMENTAL MAP FORMATION AND OBJECT RECOGNITION.

2003
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Release : 2003
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Book Synopsis ACTIVE STEREO VISION: DEPTH PERCEPTION FOR NAVIGATION, ENVIRONMENTAL MAP FORMATION AND OBJECT RECOGNITION. by :

Download or read book ACTIVE STEREO VISION: DEPTH PERCEPTION FOR NAVIGATION, ENVIRONMENTAL MAP FORMATION AND OBJECT RECOGNITION. written by . This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: In very few mobile robotic applications stereo vision based navigation and mapping is used because dealing with stereo images is very hard and very time consuming. Despite all the problems, stereo vision still becomes one of the most important resources of knowing the world for a mobile robot because imaging provides much more information than most other sensors. Real robotic applications are very complicated because besides the problems of finding how the robot should behave to complete the task at hand, the problems faced while controlling the robot’s internal parameters bring high computational load. Thus, finding the strategy to be followed in a simulated world and then applying this on real robot for real applications is preferable. In this study, we describe an algorithm for object recognition and cognitive map formation using stereo image data in a 3D virtual world where 3D objects and a robot with active stereo imaging system are simulated. Stereo imaging system is simulated so that the actual human visual system properties are parameterized. Only the stereo images obtained from this world are supplied to the virtual robot. By applying our disparity algorithm, depth map for the current stereo view is extracted. Using the depth information for the current view, a cognitive map of the environment is updated gradually while the virtual agent is exploring the environment. The agent explores its environment in an intelligent way using the current view and environmental map information obtained up to date. Also, during exploration if a new object is observed, the robot turns around it, obtains stereo images from different directions and extracts the model of the object in 3D. Using the available set of possible objects, it recognizes the object.

Computer and Information Sciences - ISCIS 2004

2004-10-14 Computers
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Release : 2004-10-14
Genre : Computers
Kind : eBook
Book Rating : 264/5 ( reviews)

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Book Synopsis Computer and Information Sciences - ISCIS 2004 by : Cevdet Aykanat

Download or read book Computer and Information Sciences - ISCIS 2004 written by Cevdet Aykanat. This book was released on 2004-10-14. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Symposium on Computer and Information Sciences, ISCIS 2004, held in Kemer-Antalya, Turkey in October 2004. The 99 revised full papers presented together with an invited paper were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections on artificial intelligence and machine learning, computer graphics and user interfaces, computer networks and security, computer vision and image processing, database systems, modeling and performance evaluation, natural language processing, parallel and distributed computing, real-time control applications, software engineering and programming, and theory of computing.

Computer Stereo Vision

2024-04-28 Computers
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Release : 2024-04-28
Genre : Computers
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Book Synopsis Computer Stereo Vision by : Fouad Sabry

Download or read book Computer Stereo Vision written by Fouad Sabry. This book was released on 2024-04-28. Available in PDF, EPUB and Kindle. Book excerpt: What is Computer Stereo Vision Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Computer stereo vision Chapter 2: 3D reconstruction Chapter 3: Active contour model Chapter 4: Harris affine region detector Chapter 5: Foreground detection Chapter 6: Matrix Chernoff bound Chapter 7: Similarity Chapter 8: Structural similarity Chapter 9: Variance function Chapter 10: Fréchet inception distance (II) Answering the public top questions about computer stereo vision. (III) Real world examples for the usage of computer stereo vision in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Computer Stereo Vision.

Computer and Information Sciences - ISCIS ...

2004 Computers
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Release : 2004
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Computer and Information Sciences - ISCIS ... by :

Download or read book Computer and Information Sciences - ISCIS ... written by . This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis and Interpretation of Range Images

2012-12-06 Computers
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Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 607/5 ( reviews)

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Book Synopsis Analysis and Interpretation of Range Images by : Ramesh C. Jain

Download or read book Analysis and Interpretation of Range Images written by Ramesh C. Jain. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision researchers have been frustrated in their attempts to automatically derive depth information from conventional two-dimensional intensity images. Research on "shape from texture", "shape from shading", and "shape from focus" is still in a laboratory stage and had not seen much use in commercial machine vision systems. A range image or a depth map contains explicit information about the distance from the sensor to the object surfaces within the field of view in the scene. Information about "surface geometry" which is important for, say, three-dimensional object recognition is more easily extracted from "2 1/2 D" range images than from "2D" intensity images. As a result, both active sensors such as laser range finders and passive techniques such as multi-camera stereo vision are being increasingly utilized by vision researchers to solve a variety of problems. This book contains chapters written by distinguished computer vision researchers covering the following areas: Overview of 3D Vision Range Sensing Geometric Processing Object Recognition Navigation Inspection Multisensor Fusion A workshop report, written by the editors, also appears in the book. It summarizes the state of the art and proposes future research directions in range image sensing, processing, interpretation, and applications. The book also contains an extensive, up-to-date bibliography on the above topics. This book provides a unique perspective on the problem of three-dimensional sensing and processing; it is the only comprehensive collection of papers devoted to range images. Both academic researchers interested in research issues in 3D vision and industrial engineers in search of solutions to particular problems will find this a useful reference book.

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