Titlebook: Computer Vision - ECCV 2000; 6th European Confere David Vernon Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 3-D visio

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书目名称Computer Vision - ECCV 2000影响因子(影响力)




书目名称Computer Vision - ECCV 2000影响因子(影响力)学科排名




书目名称Computer Vision - ECCV 2000网络公开度




书目名称Computer Vision - ECCV 2000网络公开度学科排名




书目名称Computer Vision - ECCV 2000被引频次




书目名称Computer Vision - ECCV 2000被引频次学科排名




书目名称Computer Vision - ECCV 2000年度引用




书目名称Computer Vision - ECCV 2000年度引用学科排名




书目名称Computer Vision - ECCV 2000读者反馈




书目名称Computer Vision - ECCV 2000读者反馈学科排名

有权

Real-Time Tracking of Multiple Articulated Structures in Multiple Views multiple cameras and the tracking of multiple or articulated targets. A powerful and general method is presented for expressing and solving the constraints which exist in these configurations in a principled manner. This method exploits the geometric structure present in the Lie group and Lie algeb

Esalate

Pedestrian Detection from a Moving Vehiclebject detection. In the first step, contour features are used in a hierarchical template matching approach to efficiently “lock” onto candidate solutions. Shape matching is based on Distance Transforms. By capturing the objects shape variability by means of a template hierarchy and using a combined

甜得发腻

Vision-Based Guidance and Control of Robots in Projective Spacerely projective. Metric models are not required and are replaced with projective models of both the stereo geometry and the robot’s “projective kinematics”. Such models are preferable since they can be identified from the vision data without any a-priori knowledge. More precisely, we present constra

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Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Func the image plane, that is, a method for completing the boundaries of partially occluded objects. Like computations in primary visual cortex (and unlike all previous models of contour completion in the human visual system), our computation is Euclidean invariant. This invariance is achieved in a biol

变化

Bootstrap Initialization of Nonparametric Texture Models for Trackingmulation of this problem and present a simple taxonomy of such tasks..The formulation is instantiated with algorithms for bootstrap initialization in two domains: In one, the goal is tracking the position of a face at a desktop; we learn color models of faces, using weak knowledge about the shape an

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代替

Tracking Discontinuous Motion Using Bayesian Inference attempts at tracking a person’s head and hands deal with ambiguity, uncertainty and noise by intrinsically assuming a consistently continuous visual stream and/or exploiting depth information. We present a method for tracking the head and hands of a human subject from a single view with no constrai