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Titlebook: Computer Vision in Human-Computer Interaction; ECCV 2006 Workshop o Thomas S. Huang,Nicu Sebe,Branislav Kisa?anin Conference proceedings 20

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發(fā)表于 2025-3-21 18:43:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computer Vision in Human-Computer Interaction
副標(biāo)題ECCV 2006 Workshop o
編輯Thomas S. Huang,Nicu Sebe,Branislav Kisa?anin
視頻videohttp://file.papertrans.cn/235/234090/234090.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computer Vision in Human-Computer Interaction; ECCV 2006 Workshop o Thomas S. Huang,Nicu Sebe,Branislav Kisa?anin Conference proceedings 20
描述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 n
出版日期Conference proceedings 2006
關(guān)鍵詞Computer Vision; HCI; HCI for handicapped persons; Optical flow; action recognition; body tracking; face r
版次1
doihttps://doi.org/10.1007/11754336
isbn_softcover978-3-540-34202-1
isbn_ebook978-3-540-34203-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Opening the Door to Interaction,. In this paper, a novel system is proposed to recognize human facial expressions based on the expression sketch. Firstly, facial expression sketch is extracted by an GPU-based real-time edge detection and sharpening algorithm from original gray image. Then, a statistical method, which is called .,
地板
發(fā)表于 2025-3-22 06:56:56 | 只看該作者
The Design of Implicit Interactionsrative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evalu
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Driving into the Future, Together,chniques and multiple cues fusion under particle filter framework. Visual cues designed for general object tracking problem hardly suffice for robust head tracking under diverse or even severe circumstances, making it a necessity to utilize higher level information which is object-specific. To this
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The Design of Implicit Interactionspplication of affective computing, which relates to, arises from, or deliberately influences emotion. As a first step to a system that recognizes emotions of individual users, this research focuses on how emotional experiences are expressed in six parameters (i.e., mean, absolute deviation, standard
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Making Time for Building Blocks,h can help to build intelligent surveillance systems. The proposed method makes use of object silhouettes to classify objects and actions of humans present in a scene monitored by a stationary camera. An adaptive background subtract-tion model is used for object segmentation. Template matching based
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發(fā)表于 2025-3-23 02:33:52 | 只看該作者
Three Tools of Conceptual Engineering,s MFCC of multiresolution spectrum based on wavelets and two classical audio parameters as audio feature, and prejudges silence by detection of multi-gate zero cross ratio, and classify noise and voice by Support Vector Machines (SVM). New speech mixing algorithm used in Multipoint Control Unit (MCU
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發(fā)表于 2025-3-23 05:57:52 | 只看該作者
The agent architecture interrap,e frames. In this paper, we present a novel approach to recognize the basic player actions in broadcast tennis video where the player is about 30 pixels tall. Two research challenges, motion representation and action recognition, are addressed. A new motion descriptor, which is a group of histograms
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