Titlebook: Computer Vision in Human-Computer Interaction; ICCV 2005 Workshop o Nicu Sebe,Michael Lew,Thomas S. Huang Conference proceedings 2005 Sprin

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书目名称Computer Vision in Human-Computer Interaction影响因子(影响力)




书目名称Computer Vision in Human-Computer Interaction影响因子(影响力)学科排名




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书目名称Computer Vision in Human-Computer Interaction网络公开度学科排名




书目名称Computer Vision in Human-Computer Interaction被引频次




书目名称Computer Vision in Human-Computer Interaction被引频次学科排名




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书目名称Computer Vision in Human-Computer Interaction年度引用学科排名




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书目名称Computer Vision in Human-Computer Interaction读者反馈学科排名

CRAMP

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Articulated Body Tracking Using Dynamic Belief Propagationracking algorithms based on sampling [1], belief propagation (BP) [2], or non-parametric belief propagation (NBP) [3], are very slow. To accelerate the articulated tracking algorithm, we adapted belief propagation according to the dynamics of articulated human motion. The searching space is selected

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Recover Human Pose from Monocular Image Under Weak Perspective Projectiona monocular image can be estimated from convolution curve through nonlinear optimization. The contribution of the paper is in three folds: Firstly, human model based convolution surface with articulated skeletons is presented and its shape is deformable when changing polynomial parameters and radius

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A Joint System for Person Tracking and Face Detectionan-computer interaction. In many such applications, time-synchronous views from multiple calibrated cameras are available, and both frame-view and space-level human location information is desired. In such scenarios, efficiently combining the strengths of face detection and person tracking is a viab

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Perceptive User Interface, a Generic Approachestures. These cues are interpreted to control a user interface on a large screen. The result is a fully functional integrated system that processes roughly 7.5 frames per second on a Pentium IV system. The calibration of this setup is carried out through a few simple and intuitive routines, making

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Mobile Camera-Based User Interactiontion by moving their device. An on-board camera is used to capture incoming video and the scrolling direction and magnitude are estimated using a feature-based tracking algorithm. The direction is used as the scroll direction in the application, and the magnitude is used to set the zoom level. The c

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Fast Head Tilt Detection for Human-Computer Interactions to communication software. We show how it can be utilized to tab through links on a web page or control a video game with head motions. It may also be useful as a correction method for currently available video-based assistive technology that requires upright facial poses. Few of the existing comp

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