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Titlebook: Advanced Concepts for Intelligent Vision Systems; 15th International C Jacques Blanc-Talon,Andrzej Kasinski,Paul Scheunde Conference procee

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樓主: Jackson
21#
發(fā)表于 2025-3-25 04:45:59 | 只看該作者
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發(fā)表于 2025-3-25 07:53:00 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/145415.jpg
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發(fā)表于 2025-3-25 15:35:06 | 只看該作者
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發(fā)表于 2025-3-25 21:26:24 | 只看該作者
Logische Analyse des Wahrheitsbegriffsances of objects from the camera and to create 3-d images. In this paper, we develop the key equations necessary to estimate the distance of an object and discuss the feasibility of such a system for distance estimation in applications such as robot vision, human computer interfaces, intelligent vis
26#
發(fā)表于 2025-3-26 00:48:04 | 只看該作者
Komplexit?t Algorithmischer Unl?sbarkeit treatments or guidance require high accuracy. Agricultural images are captured in outdoor scenarios, always under uncontrolled illumination. CCD-based cameras, acquiring these images, need a specific control to acquire images of sufficient quality for greenness identification from which the crop li
27#
發(fā)表于 2025-3-26 06:25:54 | 只看該作者
Logische Analyse des Wahrheitsbegriffsn the wavelet domain. It is developed for the reduction of the impulse phase noise in synthetic aperture radar interferograms (InSAR). Our contribution to the classic weighted median filter consists of using the InSAR coherence map to generate the weights. While the developed approach prioritizes th
28#
發(fā)表于 2025-3-26 11:22:10 | 只看該作者
29#
發(fā)表于 2025-3-26 13:35:38 | 只看該作者
,Berechnung der Schwei?konstruktionen,recent years due to advances in computing power, which makes processing point cloud data more feasible. Most of these descriptors describe the orientation difference between pairs of 3D points in the object and represent these differences in a histogram. Earlier studies dealt with the performances o
30#
發(fā)表于 2025-3-26 17:04:56 | 只看該作者
,Berechnung der Schwei?konstruktionen, optical character recognition. Although many image restoration methods can be found in the literature, most of them are developed for grayscale images. In this paper we propose a novel binary image restoration algorithm. As a first step, it restores the projections of the shape using 1-dimensional
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