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#TCPW P7.7 --- #TCPW T1.0 --- 681.3*A0 --- 681.3*I4 --- 681.3*J2 --- General --- Image processing: image displays; image processing software (Computing methododologies) --- Physical sciences and engineering (Computer applications) --- 681.3*J2 Physical sciences and engineering (Computer applications) --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- 681.3*A0 General --- Signal processing --- Digital techniques
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#TCPW P7.7 --- #TCPW T1.0 --- #TELE:MI2 --- 681.3*A0 --- 681.3*I4 --- 681.3*J2 --- General --- Image processing: image displays; image processing software (Computing methododologies) --- Physical sciences and engineering (Computer applications) --- 681.3*J2 Physical sciences and engineering (Computer applications) --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- 681.3*A0 General --- Image processing. --- Transformations (mathématiques) --- Digital filters --- Digital techniques
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681.5 --- filters --- transforms --- controlesystemen --- Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- 681.5 Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- Image processing --- Digital filters (Mathematics) --- Traitement d'images --- Filtres numériques (mathématiques) --- Filtres numériques (Mathématiques) --- Filtres numériques (Mathématiques) --- Traitement d'images. --- Filtres numériques (mathématiques)
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This volume in the Lecture Notes of Artificial Intelligence represents the first book on human computing. We introduced the notion of human computing in 2006 and organized two events that were meant to explain this notion and the research conducted worldwide in the context of this notion. The first of these events was a Special Session on Human Computing that took place during the Eighth International ACM Conference on Multimodal Interfaces (ICMI 2006), held in Banff, Canada, on November 3, 2006. The theme of the conference was multimodal collaboration and our Special Session on Human Computing was a natural extension of the discussion on this theme. We are grateful to the organizers of ICMI 2006 for supporting our efforts to organize this Special Session during the conference. The second event in question was a Workshop on AI for Human Computing organized in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), held in Hyderabad (India), on January 6, 2007. The main theme of IJCAI 2007 was AI and its benefits to society. Our workshop presented a vision of the future of computing technology in which AI, in particular machine learning and agent technology, plays an essential role. We want to thank the organizers of IJCAI 2007 for their support in the organization of the Workshop on AI for Human Computing.
User interfaces (Computer systems) --- Human-computer interaction --- Artificial intelligence --- Interfaces utilisateurs (Informatique) --- Interaction homme-machine (Informatique) --- Intelligence artificielle --- Congresses. --- Congrès --- Artificial intelligence -- Congresses. --- Electronic books. -- local. --- Human-computer interaction -- Congresses. --- User interfaces (Computer systems) -- Congresses. --- Engineering & Applied Sciences --- Mechanical Engineering --- Computer Science --- Mechanical Engineering - General --- Information Technology --- Artificial Intelligence --- Computer science. --- User interfaces (Computer systems). --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Informatics --- Science --- Digital techniques --- Optical pattern recognition. --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face processing techniques. It reviews existing 3D face processing techniques, including techniques for 3D face geometry modeling; 3D face motion modeling; and 3D face motion tracking and animation. Then it discusses a unified framework for face modeling, analysis and synthesis. In this framework, the authors present new methods for modeling complex natural facial motion, as well as face appearance variations due to illumination and subtle motion. Then the authors apply the framework to face tracking, expression recognition and face avatar for HCI interface. They conclude this book with comments on future work in the 3D face processing framework. 3D Face Processing: Modeling, Analysis and Synthesis will interest those working in face processing for intelligent human computer interaction and video surveillance. It contains a comprehensive survey on existing face processing techniques, which can serve as a reference for students and researchers. It also covers in-depth discussion on face motion analysis and synthesis algorithms, which will benefit more advanced graduate students and researchers.
Optical pattern recognition. --- Face perception --- Three-dimensional imaging. --- Image processing --- Data processing. --- Digital techniques. --- Computer vision. --- Computer science. --- Computer graphics. --- Multimedia systems. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- User Interfaces and Human Computer Interaction. --- Computer Graphics. --- Multimedia Information Systems. --- Optical data processing. --- User interfaces (Computer systems). --- Multimedia information systems. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Digital techniques --- Optical equipment --- Face perception. --- Human-computer interaction. --- Computer Vision.
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As computers become prevalent in all aspects of daily life, the need for natural and effective Human-Computer Interaction (HCI) becomes increasingly important. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, as well as novel and convincing applications. This state-of-the-art contributed volume presents a series of peer-reviewed survey articles written by international leading experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. It is also an excellent starting point for further research in these areas. Contributions to this volume address specific topics such as: Real-Time Algorithms: from Signal Processing to Computer Vision Recognition of Isolated Fingerspelling Gestures Using Depth Edges Appearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles Flocks of Features for Tracking Articulated Objects Static Hand Posture Recognition Based on Okapi-Chamfer Matching Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters A Real-Time Vision Interface Based on Gaze Detection – Eyekeys Map Building From Human-Computer Interactions Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures Epipolar Constrained User Pushbutton Selection in Projected Interfaces Vision-Based HCI Applications The Office of the Past MPEG-4 Face and Body Animation Coding Applied to HCI Multimodal Human-Computer Interaction Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.
Human-computer interaction. --- Human engineering. --- Ergonomics --- Human factors in engineering design --- Bioengineering --- Environmental engineering --- Industrial engineering --- Human comfort --- Human-robot interaction --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Computer science. --- Computer vision. --- Optical pattern recognition. --- Artificial intelligence. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Pattern Recognition. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Informatics --- Science --- User interfaces (Computer systems). --- Optical data processing. --- Pattern recognition. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment --- Pattern recognition systems. --- Automated Pattern Recognition. --- Digital techniques. --- Digital image processing --- Digital electronics --- Pattern classification systems --- Pattern recognition computers --- Computer vision
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Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics. Combines classical sparse and low-rank models and algorithms with the latest advances in deep learning networks Shows how the structure and algorithms of sparse and low-rank methods improves the performance and interpretability of Deep Learning models Provides tactics on how to build and apply customized deep learning models for various applications
Beverages --- Health aspects. --- Drinks --- Potable liquids --- Potables --- Food --- Liquids --- Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory
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Mathematical statistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- grafische vormgeving --- informatica --- robots
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