Intelligent Unmanned Ground Vehicles

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Alan F. Murray

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

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Nadia Magnenat-Thalmann, Daniel Thalmann

With the increasing success of Networked Virtual Environments, Games and Web 3D, there is a need for new techniques to permit the creation and animation of Virtual Humans. Users may be represented by realistic avatars that they can control, but also autonomous Virtual Humans agents can now inhabit these Virtual Worlds. Virtual Humans with their soft tissues, skin, muscles, organs and clothes are completely deformable. There are many methods to enable the representation and deformation of these structures. These methods may be geometric or physics-based. Presenting a selection of the latest research work addressing various aspects related to deformable avatars, this book covers complementary topics such as body modelling and animation, face modelling and animation, physics-based and free-form deformations, motion capture, avatars technologies and agents. This volume is comprised of the combined proceedings of the DEFORM'2000 and AVATARS'2000 workshops, which were sponsored by the International Federation for Information Processing (IFIP) and organized by IFIP Working Group 5.10. The workshops were held in Geneva and Lausanne, Switzerland in November/December 2000.

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Armin Gruen, Thomas S. Huang

This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.

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Xiang Sean Zhou, Yong Rui, Thomas S. Huang

Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.