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Titlebook: Robot Vision; International Worksh Reinhard Klette,Shmuel Peleg,Gerald Sommer Conference proceedings 2001 Springer-Verlag Berlin Heidelberg

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樓主: fumble
41#
發(fā)表于 2025-3-28 15:17:26 | 只看該作者
42#
發(fā)表于 2025-3-28 18:55:13 | 只看該作者
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發(fā)表于 2025-3-28 23:26:21 | 只看該作者
A Wavelet-Based Algorithm for Height from Gradientso span the solution space. The surface height is described as a linear combination of a set of the scaling basis functions. This method efficiently discretizes the cost function associated with the height from gradients problem. After discretization, the height from gradients problem becomes a discr
44#
發(fā)表于 2025-3-29 04:19:46 | 只看該作者
Enhanced Stereo Vision Using Free-Form Surface Mirrorsto an incorrect distance measurement. In applications such as automotive vision-based navigation a high precision in matching and distance calculation is vital. A common approach is the use of multiple cameras. Unfortunately, in vehicle applications this is often not feasible. However, the shiny var
45#
發(fā)表于 2025-3-29 10:50:20 | 只看該作者
46#
發(fā)表于 2025-3-29 12:26:38 | 只看該作者
Horus: Object Orientation and Id without Additional Markers original shape of the robot is used to determine an orientation using a general Hough transform. In addition the movement history as well as the command history are used to calculate the quadrant of the orientation as well as the identity of the robot. An empirical evaluation shows that the perform
47#
發(fā)表于 2025-3-29 18:22:36 | 只看該作者
48#
發(fā)表于 2025-3-29 23:46:25 | 只看該作者
49#
發(fā)表于 2025-3-30 02:32:29 | 只看該作者
Efficient Computation of Intensity Profiles for Real-Time Visionient method for exploiting area-based image information has been developed (as opposed to edge features preferred in real- time vision systems up to now). It relies on the same oriented intensity gradient operators as have been used for edge localization in the past (K(C)RONOS). However, the goal ac
50#
發(fā)表于 2025-3-30 07:26:45 | 只看該作者
Subpixel Flow Detection by the Hough Transforman appropriate number of images from a sequence of images, it is possible to detect subpixel motion in this sequence. We use the accumulator space for the unification of these flow vectors which are computed from different time intervals.
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