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Titlebook: Computer Vision - ECCV 2014 Workshops; Zurich, Switzerland, Lourdes Agapito,Michael M. Bronstein,Carsten Rothe Conference proceedings 2015

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樓主: VERSE
51#
發(fā)表于 2025-3-30 10:06:19 | 只看該作者
52#
發(fā)表于 2025-3-30 14:14:05 | 只看該作者
53#
發(fā)表于 2025-3-30 19:41:12 | 只看該作者
Structured Behavioral Observations Ierees easy to be fatigue and thus grade with occasional mistakes. In this paper, we propose using Kinect sensors to grade automatically. Firstly, we record the joint movement of the performer skeleton. Then we adopt the joint differences both temporally and spatially to model the joint dynamics and
54#
發(fā)表于 2025-3-30 21:59:35 | 只看該作者
Structured Behavioral Observations IIcedure of the representations. In this paper, we investigate and compare hand-crafted and random feature representation for human action recognition on YouTube dataset. The former is built on 3D HoG/HoF and SIFT descriptors while the latter bases on random projection. Three encoding methods: Bag of
55#
發(fā)表于 2025-3-31 03:28:01 | 只看該作者
56#
發(fā)表于 2025-3-31 05:45:44 | 只看該作者
57#
發(fā)表于 2025-3-31 11:29:34 | 只看該作者
https://doi.org/10.1007/978-1-4612-6007-3 volumetrically using micro-computed tomography (.CT) imaging. The local descriptor, i.e. local binary pattern (LBP), is a new alternative solution to perform analysis of local bone structures from .CT scans. In this study, different trabecular bone samples were prepared from patients diagnosed with
58#
發(fā)表于 2025-3-31 15:10:37 | 只看該作者
59#
發(fā)表于 2025-3-31 19:28:23 | 只看該作者
https://doi.org/10.1007/978-1-4612-6007-3 made to design effective representations of video content. In this paper, we apply to gait recognition the Motion Interchange Patterns (MIP) framework, a 3D extension of the LBP descriptors to videos that was successfully employed in action recognition. This effective framework encodes motion by ca
60#
發(fā)表于 2025-4-1 00:29:33 | 只看該作者
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