Real-Time Vision for Human-Computer Interaction (eBook, PDF)

Redaktion: Kisacanin, Branislav; Huang, Thomas S.; Pavlovic, Vladimir

• Format: PDF

Produktbeschreibung

This state-of-the-art contributed volume presents a series of peer-reviewed survey articles by top 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. Contributors discuss topics such as Vision-Based Fingerspelling and Hand Gesture Recognition, Head and Facial Animation Tracking, Real-Time Vision Interfaces, and Map Building from Human-Computer Interactions. It is an invaluable reference for researchers and practitioners in the areas of Human-Computer Interaction and computer vision, and an excellent starting point for further research because it outlines further challenges in these fields.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer US
• Seitenzahl: 302
• Erscheinungstermin: 6. Dezember 2005
• Englisch
• ISBN-13: 9780387278902
• Artikelnr.: 37287565

Autorenporträt

Branislav Kisacanin, Delphi E&S, Kokomo, IN, USA / Vladimir Pavlovic, Rutgers University, Piscataway, NJ / Thomas S. Huang, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Inhaltsangabe

RTV4HCI: A Historical Overview.- Real-Time Algorithms: From Signal Processing to Computer Vision.- Advances in RTV4HCI.- 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.- Looking Ahead.- Vision-Based HCI Applications.- The Office of the Past.- MPEG-4 Face and Body Animation Coding Applied to HCI.- Multimodal Human-Computer Interaction.- Smart Camera Systems Technology Roadmap.