Precision Landmark Location For Machine Vision And Photogrammetry
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| Author | : José A. Gutierrez |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 163 |
| Release | : 2007-10-25 |
| Genre | : Computers |
| ISBN | : 1846289130 |
This book addresses the problem of measurement error associated with determining the location of landmarks in images. The least possible photogrammetric uncertainty in a given situation is determined using the Cramér–Rao Lower Bound (CRLB). The monograph provides the reader with: the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing; detailed theoretical treatment of the CRLB, and more.
| Author | : Andrey E. Gorodetskiy |
| Publisher | : Springer Nature |
| Total Pages | : 271 |
| Release | : 2022-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3030970043 |
This book presents the latest achievements in the field of theory and practice of information processing in the CNS SEMS. Recently, the task of integrating computer technologies, transmitting and storing information, monitoring and controlling objects of the physical world has become urgent. This capability is provided by Smart Electromechanical Systems (SEMS) used in Cyber-Physical Systems (CPhS). The main tasks in the field of theory and practice of SEMS are to ensure the efficiency, reliability and safety of functioning in real time. The task of obtaining reliable information about the selection environment, as well as object recognition and identification, is especially important when several SEMS interact in a group. Since in this case, it is necessary to ensure the safety and speed of the planned behavior of all members of the group. The purpose of the publication is to familiarize with the latest achievements of scientists of the Russian Academy of Sciences and leading universities of Russia in the field of theory and practice of information processing in the CNS of EMS, as well as to familiarize with the development of methods and algorithms for recognition, identification and modeling based on the principles of bionics, adaptivity, intelligence and parallelism in information processing and computing. Topics of primary interest include, but are not limited to the following: Methods and systems of recognition and identification; Mathematical and computer modeling; Measurement systems to identify the simulation of the selection environment; Sensors and auxiliary SEMS systems. This book is intended for students, scientists and engineers specializing in smart electromechanical systems and robotics.
| Author | : Jose A. Gutierrez |
| Publisher | : John Wiley & Sons |
| Total Pages | : 293 |
| Release | : 2011-03-08 |
| Genre | : Mathematics |
| ISBN | : 073816285X |
This updated edition provides detailed information on the amendments to the standard including IEEE 802.15.4a, IEEE 802.15.4c, IEEE 802.15.4d, IEEE 802.15.4e, IEEE 802.15.4f, and IEEE 802.15.4g, as well as an update on the ZigBee Alliance. This book extends the previous editions by adding a new section centered on providing a complete presentation of the WirelessHART protocol. Divided into four parts, the first part of the book presents an overview of the low-rate wireless personal area technology and IEEE 802.15.4. Not only a technical introduction, this part of the book is valuable to marketing and business professionals. It can help them understand the technology and vision behind the standards’ conception so they can more effectively plan marketing and business strategies. The second part of the text concentrates on the technical features and components of the standard, while the third part focuses on implementation and system design considerations. WirelessHART is covered in the fourth part providing details that demonstrate how a high performance and reliable industrial standard can be built on the IEEE 802.15.4 technology.
| Author | : Armin Gruen |
| Publisher | : |
| Total Pages | : 610 |
| Release | : 1990 |
| Genre | : Computer vision |
| ISBN | : |
| Author | : Gang Hua |
| Publisher | : Springer |
| Total Pages | : 930 |
| Release | : 2016-09-17 |
| Genre | : Computers |
| ISBN | : 3319466046 |
The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. 27 workshops from 44 workshops proposals were selected for inclusion in the proceedings. These address the following themes: Datasets and Performance Analysis in Early Vision; Visual Analysis of Sketches; Biological and Artificial Vision; Brave New Ideas for Motion Representations; Joint Imagenet and MS Coco Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene Understanding and Autonomous Driving; Challenge on Automatic Personality Analysis; BioImage Computing; Benchmarking Multi-Target Tracking: MOTChallenge; Assistive Computer Vision and Robotics; Transferring and Adapting Source Knowledge in Computer Vision; Recovering 6D Object Pose; Robust Reading; 3D Face Alignment in the Wild and Challenge; Egocentric Perception, Interaction and Computing; Local Features: State of the Art, Open Problems and Performance Evaluation; Crowd Understanding; Video Segmentation; The Visual Object Tracking Challenge Workshop; Web-scale Vision and Social Media; Computer Vision for Audio-visual Media; Computer VISion for ART Analysis; Virtual/Augmented Reality for Visual Artificial Intelligence; Joint Workshop on Storytelling with Images and Videos and Large Scale Movie Description and Understanding Challenge.
| Author | : Michael Ying Yang |
| Publisher | : Academic Press |
| Total Pages | : 424 |
| Release | : 2019-07-16 |
| Genre | : Technology & Engineering |
| ISBN | : 0128173599 |
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning
| Author | : Karl Rohr |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 314 |
| Release | : 2013-03-14 |
| Genre | : Computers |
| ISBN | : 9401597871 |
Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.
| Author | : |
| Publisher | : |
| Total Pages | : 360 |
| Release | : 1997 |
| Genre | : Aerial photogrammetry |
| ISBN | : |
| Author | : Richard J. Radke |
| Publisher | : Cambridge University Press |
| Total Pages | : 409 |
| Release | : 2013 |
| Genre | : Business & Economics |
| ISBN | : 0521766877 |
This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. It describes classical computer vision algorithms and recent developments, features more than 200 original images, and contains in-depth interviews with Hollywood visual effects artists that tie the mathematical concepts to real-world filmmaking.
| Author | : David M. McKeown |
| Publisher | : SPIE-International Society for Optical Engineering |
| Total Pages | : 354 |
| Release | : 1997 |
| Genre | : Computers |
| ISBN | : 9780819424877 |
