{"product_id":"real-time-vision-for-human-computer-interaction-9781441939081","title":"Real-Time Vision for Human-Computer Interaction","description":"\u003cp\u003e • Author(s): Branislav Kisacanin\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - Computer Vision \u0026amp; Pattern Recognit\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAs 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eContributions to this volume address specific topics such as: \u003c\/p\u003e \u003cp\u003eReal-Time Algorithms: from Signal Processing to Computer Vision \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eRecognition of Isolated Fingerspelling Gestures Using Depth Edges \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eAppearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eFlocks of Features for Tracking Articulated Objects \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eStatic Hand Posture Recognition Based on Okapi-Chamfer Matching \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eVisual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eHead and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eA Real-Time Vision Interface Based on Gaze Detection - Eyekeys \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eMap Building From Human-Computer Interactions \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eReal-Time Inference of Complex Mental States from Facial Expressions and Head Gestures \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eEpipolar Constrained User Pushbutton Selection in Projected Interfaces \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eVision-Based HCI Applications \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThe Office of the Past \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eMPEG-4 Face and Body Animation Coding Applied to HCI \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eMultimodal Human-Computer Interaction \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eReal-Time Vision for Human-Computer Interaction\u003c\/strong\u003e 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. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274243825815,"sku":"9781441939081","price":10915.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441939081.webp?v=1769279336","url":"https:\/\/atlanticbooks.com\/products\/real-time-vision-for-human-computer-interaction-9781441939081","provider":"Atlantic Books","version":"1.0","type":"link"}