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Titlebook: Computer Vision - ECCV 2002; 7th European Confere Anders Heyden,Gunnar Sparr,Peter Johansen Conference proceedings 2002 Springer-Verlag Ber

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樓主: tricuspid-valve
11#
發(fā)表于 2025-3-23 13:38:41 | 只看該作者
Camera Calibration with One-Dimensional Objectsng 3D apparatus (two or three planes orthogonal to each other, or a plane undergoing a pure translation, etc.), 2D objects (planar patterns undergoing unknown motions), and 0D features (self-calibration using unknown scene points). This paper yet proposes a new calibration technique using 1D objects
12#
發(fā)表于 2025-3-23 14:50:36 | 只看該作者
13#
發(fā)表于 2025-3-23 20:12:24 | 只看該作者
14#
發(fā)表于 2025-3-23 23:43:29 | 只看該作者
15#
發(fā)表于 2025-3-24 05:16:52 | 只看該作者
16#
發(fā)表于 2025-3-24 07:40:55 | 只看該作者
Geometric Properties of Central Catadioptric Line Imagesnhance the field of view while keeping a unique center of projection. A general model for central catadioptric image formation has already been established. The present paper exploits this model to study the catadioptric projection of lines. The equations and geometric properties of general catadiop
17#
發(fā)表于 2025-3-24 13:13:10 | 只看該作者
18#
發(fā)表于 2025-3-24 15:44:02 | 只看該作者
Active Surface Reconstruction Using the Gradient StrategyA novel strategy based on the statistical grouping of image gradient features is used. It is shown that the gradient of the intensity in an image can successfully be used to drive the direction of the viewer’s motion. As such, an increased efficiency in the accumulation of information is demonstrate
19#
發(fā)表于 2025-3-24 22:38:33 | 只看該作者
Linear Pose Estimation from Points or Linesons are iterative and depend on nonlinear optimization of some geometric constraint, either on the world coordinates or on the projections to the image plane. For real-time applications we are interested in linear or closed-form solutions free of initialization. We present a general framework which
20#
發(fā)表于 2025-3-25 00:03:22 | 只看該作者
0302-9743 nially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Co
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