Listing 1 - 10 of 12 | << page >> |
Sort by
|
Choose an application
#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
Choose an application
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)
Choose an application
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
Choose an application
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.
Choose an application
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
Choose an application
#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
Choose an application
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
Choose an application
The interests and goals of HCI (human–computer interaction) include understanding, designing, building, and evaluating complex interactive systems - involving many people and technologies. Developments in software and hardware technologies are continuously driving applications in supporting our collaborative and communicative needs as social beings, both at work and at play. At the same time, similar developments are pushing the human–computer interface beyond the desktop and into our pockets, streets, and buildings. Developments in mobile, wearable, and pervasive communications and computing technologies provide exciting challenges and opportunities for HCI. This volume presents the proceedings of the HCI 2006 Workshop, held in conjunction with ECCV 2006 (European Conference on Computer Vision) in Graz, Austria. The goal of this workshop was to bring together researchers from the field of computer vision whose work is related to human–computer interaction. The 11 papers presented in this volume were carefully reviewed and selected from 27 submissions. They address a wide range of theoretical and application issues in human–computer interaction. There were four thematic sessions named: face analysis; gesture and emotion recognition; event detection; and applications. .
Computer software --- Computer vision --- Logiciels --- Vision par ordinateur --- Human factors --- Congresses. --- Facteurs humains --- Congresses --- Congrès --- Human-computer interaction --- Applied Physics --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- User interfaces (Computer systems). --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- User Interfaces and Human Computer Interaction. --- 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 --- Interfaces, User (Computer systems) --- Human-machine systems --- Informatics --- Science --- Digital techniques --- Computer vision. --- Optical pattern recognition. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment
Choose an application
This book constitutes the refereed proceedings of the International Workshop on Human-Computer Interaction, HCI 2004, held at ECCV 2004 in Prague, Czech Republic in May 2004. The 19 revised full papers presented together with an introductory overview and an invited paper were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on human-robot interaction, gesture recognition and body tracking, systems, and face and head.
Computer science. --- Computer graphics. --- Computer vision. --- Optical pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- User Interfaces and Human Computer Interaction. --- Human-computer interaction --- Computer vision --- Engineering & Applied Sciences --- Computer Science --- User interfaces (Computer systems). --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Artificial Intelligence (incl. Robotics). --- Artificial Intelligence. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- 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 --- Informatics --- Science --- Digital techniques --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Optical equipment
Choose an application
Human-Computer Interaction (HCI) lies at the crossroads of many scienti?c areas including arti?cial intelligence, computer vision, face recognition, motion tracking, etc. In order for HCI systems to interact seamlessly with people, they need to understand their environment through vision and auditory input. Mo- over, HCI systems should learn how to adaptively respond depending on the situation. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human-computer interaction. The selected articles for this workshop address a wide range of theoretical and - plication issues in human-computer interaction ranging from human-robot - teraction, gesture recognition, and body tracking, to facial features analysis and human-computer interaction systems. This year 74 papers from 18 countries were submitted and 22 were accepted for presentation at the workshop after being reviewed by at least 3 members of the Program Committee. We had therefore a very competitive acceptance rate of less than 30% and as a consequence we had a very-high-quality workshop. Wewouldliketo thankallmembersofthe ProgramCommitteefor their help in ensuring the quality of the papers accepted for publication. We are grateful to Dr. Jian Wang for giving the keynote address. In addition, we wish to thank the organizers of the 10th IEEE International Conference on Computer Vision and our sponsors, University of Amsterdam, Leiden Institute of Advanced Computer Science, and the University of Illinois at Urbana-Champaign, for support in setting up our workshop.
Computer vision --- Computer software --- Vision par ordinateur --- Logiciels --- Congresses. --- Human factors --- Congrès --- Facteurs humains --- Congresses --- Human-computer interaction --- Applied Physics --- Engineering & Applied Sciences --- Computer science. --- User interfaces (Computer systems). --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Image Processing and Computer Vision. --- Computer Graphics. --- Pattern Recognition. --- 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 --- Interfaces, User (Computer systems) --- Human-machine systems --- Informatics --- Science --- Digital techniques --- Computer vision. --- Optical pattern recognition. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment
Listing 1 - 10 of 12 | << page >> |
Sort by
|