Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomás Pajdla,Jiří Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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https://doi.org/10.1007/978-0-230-11790-7 technique uses the relative simplicity of small baseline tracking in image sequences to develop descriptors suitable for the more challenging task of wide baseline matching across significant viewpoint changes. The variations in the appearance of each feature are learned using kernel principal comp

Bouquet

Riddling the Reader to Write Back,thod introduced by Kadir and Brady [10]. The detector deems a region salient if it exhibits unpredictability in both its attributes and its spatial scale..The detector has significantly different properties to operators based on kernel convolution, and we examine three aspects of its behaviour: inva

BILIO

Toward a Constructionist Fat History,r spatial configuration are learnt simultaneously and automatically, without supervision, from cluttered images..We describe how this model can be employed for ranking the output of an image search engine when searching for object categories. It is shown that visual consistencies in the output image

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Computer Vision - ECCV 2004978-3-540-24670-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

TEN

The Enemy Within: The Attack on Diplomats,t is derived by introducing smooth adjustments in the parametric space of the surface and relating them to the control point increments. The convergence properties of the proposed method are improved by a coarse-to-fine multiscale matching. The method is applied to real-time tracking of specially marked surfaces from a single camera view.

设施

0302-9743 mittee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pa978-3-540-21984-2978-3-540-24670-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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