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Titlebook: Handbuch der Demographie 2; Anwendungen Ulrich Mueller,Bernhard Nauck,Andreas Diekmann Book 2000 Springer-Verlag Berlin Heidelberg 2000 Bev

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41#
發(fā)表于 2025-3-28 16:34:07 | 只看該作者
for indoor use. To address this issue, this project developed an application based on Unity‘s ARCore extension for AR Foundation and Google Cloud Anchor Service, combined with the real-time database, to identify, record the location of key points indoors, and to provide self-localization, path plann
42#
發(fā)表于 2025-3-28 20:51:10 | 只看該作者
Paul B. Hill,Johannes KoppRB-SLAM and has been used effectively in many fields. However, the GMS divides the image into a certain number of grids with a fixed size, which cannot better reflect the feature information of the region. So that when large affine changes occur in the images, the grids cannot delineate a reasonable
43#
發(fā)表于 2025-3-29 01:58:53 | 只看該作者
Charlotte H?hn account of the fact that the neighboring pixels inside a local patch are likely to lie on the same plane. Our algorithm propagates the “good” initial guesses to the neighboring pixels by spatial propagation, followed by a random refinement process. Therefore, this allows finding precise depth value
44#
發(fā)表于 2025-3-29 05:04:08 | 只看該作者
45#
發(fā)表于 2025-3-29 10:44:02 | 只看該作者
46#
發(fā)表于 2025-3-29 13:10:23 | 只看該作者
Jürgen H. P. Hoffmeyer-Zlotnikrent classical hand dance movement recognition has high computational complexity and low accuracy. To address these problems, we present a classical hand dance movement recognition and analysis method based on deep learning. Firstly, our method extracts the key frames from the input classical hand d
47#
發(fā)表于 2025-3-29 17:02:37 | 只看該作者
Paul B. Hill,Johannes Kopp body joints. However, GCNs have limitations in establishing long-term dependencies and are constrained by the natural connections of human body joints. To overcome these issues, we propose a Graph relative TRansformer (GTR) that captures temporal features through learnable topology and invariant jo
48#
發(fā)表于 2025-3-29 19:47:52 | 只看該作者
Norbert F. Schneider,Doris Rosenkranz,Ruth Limmerhallenging task. The accuracy of multiple object tracking algorithms is dependent on the accuracy of the first stage object detection algorithm. In this paper, we propose an improved algorithm of IOU Tracker–FIOU Tracker. Our proposal algorithm can overcome the shortcoming of IOU Tracker with a smal
49#
發(fā)表于 2025-3-30 01:36:24 | 只看該作者
Uwe Blien,Wolfgang Meyerber 2020. The conference was held virtually...The 43 full papers presented together with 3 short papers were carefully reviewed and selected from 189 submissions. The papers address topics such as: virtual reality; rendering and textures; augmented and mixed reality; video processing; image processi
50#
發(fā)表于 2025-3-30 07:32:09 | 只看該作者
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