Download or read book SURFACES IN EARLY RANGE IMAGE UNDERSTANDING SEGMENTATION OBJECT RECOGNITION DIFFERENTIAL GEOMETRY DATA DRIVEN PROCESS PROCESSING written by Paul J. Besl and published by . This book was released on 1986 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: intensity image analysis. It is interesting to note that the surface and edge description algorithms use the same basic "sign-of-curvature" paradigm in different dimensions.
Download or read book Surfaces in Range Image Understanding written by Paul J. Besl and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.
Download or read book Surfaces in Early Range Image Understanding written by Paul Joseph Besl and published by . This book was released on 1986 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Describing and Recognizing 3 D Objects Using Surface Properties written by Ting-Jun Fan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surface properties play a very important role in many perception tasks. Object recognition, navigation, and inspection use surface properties ex tensively. Characterizing surfaces at different scales in given data is often the first and possibly the most important step. Most early research in ma chine perception relied on only very coarse characterization of surfaces. In the last few years, surface characterization has been receiving due attention. Dr. T. J. Fan is one of the very few researchers who designed and im plemented a complete system for object recognition. He studied issues re lated to characterization of surfaces in the context of object recognition, and then uses the features thus developed for recognizing objects. He uses a multi-view representation of 3-D objects for recognition, and he devel ops techniques for the segmentation of range images to obtain features for recognition. His matching approach also allows him to recognize objects from their partial views in the presence of other occluding objects. The efficacy of his approach is demonstrated in many examples.
Download or read book Analysis and Interpretation of Range Images written by Ramesh C. Jain and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 393 pages. 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.
Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1989 with total page 1116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book American Doctoral Dissertations written by and published by . This book was released on 2001 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Download or read book Data driven Object Segmentation in Single Images with Random Field Models written by and published by . This book was released on 2015 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: As humans, we have a remarkable ability of telling objects apart from cluttered background and tracing their contours even with occlusions. This ability has long fascinated computer vision researchers to study the principles and algorithms for object segmentation. Object segmentation has both theoretical and practical interests as it is an essential step towards 3D image understanding and intelligent image editing. To segment an object, we have to recognize it in order to obtain knowledge of what parts should be grouped together. In this thesis, we formulate object segmentation as an image labeling problem in random field models to facilitate integrating top-down recognition knowledge with bottom-up image cues. The integration can be driven by either bottom-up segmentation or top-down recognition. The segmentation-driven process requires object-level segmentation hypotheses drawn from bottom-up cues while the recognition-driven process needs shape and context to be effectively represented. This thesis addresses these issues in a data-driven approach. First, we propose to generate object segmentation proposals from segmentation trees using exemplars. Compared to previous parametric methods, our data-driven method takes advantage of both diversity and informativeness of exemplars and thus produce a compact set of highly plausible proposals. Second, we propose novel random field models that enjoy joint learning of shape representation and object segmentation. Different from previous works that use shape representation as prior, our model emphasizes the structured prediction from the recognition model to the shape model. This difference ensures the the shape is well preserved in the resulting segmentation masks with robustness to partial occlusions. Third, we develop a novel nonparametric method based on multiscale shape transfer, which in turns forms a higher-order random field. Compared to previous works that transfer rigid or deformable masks in image subwindows, our method explores shape masks in multiple granularities and is able to produce high quality segmentations in an efficient way. The last but not least, we develop a novel scene parsing system where small objects are segmented in context. With extensive use of context in multiscale and particular care to the long-tailed label distribution, our system demonstrates state-of-the-art results in large-scale problems.
Download or read book Intelligent Systems written by Cornelius T. Leondes and published by CRC Press. This book was released on 2018-10-08 with total page 2400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
Download or read book Proceedings written by and published by . This book was released on 1986 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Combinatorial Image Analysis written by Ralf Reulke and published by Springer Science & Business Media. This book was released on 2006-06-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 11th International Workshop on Combinatorial Image Analysis, IWCIA 2006, held in Berlin, June 2006. The book presents 34 revised full papers together with two invited papers, covering topics including combinatorial image analysis; grammars and models for analysis and recognition of scenes and images; combinatorial topology and geometry for images; digital geometry of curves and surfaces; algebraic approaches to image processing, and more.
Download or read book Autonomous Mobile Robots Perception mapping and navigation written by S. Sitharama Iyengar and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1991 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book China 1991 International Conference on Circuits and Systems 16 17 June 1991 Shenzhen University Shenzhen China written by and published by . This book was released on 1991 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Understanding Workshop written by George E. Lukes and published by Morgan Kaufmann. This book was released on 1998 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reports and technical results presented at the biennial workshops of the DARPA Image Understanding research program.
Download or read book Machine Vision Handbook written by Bruce G. Batchelor and published by Springer. This book was released on 2012-02-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.
Download or read book Image Analysis and Processing written by Alberto del Bimbo and published by Springer. This book was released on 1997-09-03 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of the refereed 2-volume proceedings of the 9th International Conference on Image Analysis and Processing, ICIAP'97, held in Florence, Italy, September 1997. Both volumes together present several keynote contributions and 173 revised papers selected from over 300 submissions. The contributing authors (more than 400 in number) provide a wealth of new results in the areas of image analysis, pattern recognition and computer vision. Among the basic topics covered are image enhancement, image segmentation, image compression, motion analysis, object recognition, image understanding, and special hardware architectures and systems, etc. Among the application areas covered are biomedical imaging, character recognition, safety and surveillance, object identification, etc.
