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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書(shū)目名稱Computer Vision - ECCV 2000影響因子(影響力)




書(shū)目名稱Computer Vision - ECCV 2000影響因子(影響力)學(xué)科排名




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書(shū)目名稱Computer Vision - ECCV 2000網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computer Vision - ECCV 2000被引頻次




書(shū)目名稱Computer Vision - ECCV 2000被引頻次學(xué)科排名




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書(shū)目名稱Computer Vision - ECCV 2000年度引用學(xué)科排名




書(shū)目名稱Computer Vision - ECCV 2000讀者反饋




書(shū)目名稱Computer Vision - ECCV 2000讀者反饋學(xué)科排名

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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

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Pedestrian Detection from a Moving Vehiclebject detection. In the first step, contour features are used in a hierarchical template matching approach to efficiently “l(fā)ock” 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

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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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AND

AND

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

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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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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