Opulent
发表于 2025-3-21 18:48:46
书目名称Articulated Motion and Deformable Objects影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0161982<br><br> <br><br>书目名称Articulated Motion and Deformable Objects读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0161982<br><br> <br><br>
GENUS
发表于 2025-3-21 22:57:34
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indubitable
发表于 2025-3-22 01:00:09
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本能
发表于 2025-3-22 07:09:45
3D Human Motion Analysis for Reconstruction and Recognition,e its pose. Third, the entire gait sequence is recovered by interpolation of joint positions in the fitted body models. Representative results have been shown to ensure the robustness of the proposed method.
Infinitesimal
发表于 2025-3-22 11:23:34
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Granular
发表于 2025-3-22 15:36:33
Non-rigid Object Segmentation Using Robust Active Shape Models,ectation-Maximization method and the weights are updated in each iteration. The algorithm was tested in ultrasound images of the left ventricle and compared with the output of classic Active Shape Models. The proposed algorithm performs significantly better.
Hallowed
发表于 2025-3-22 18:10:33
efficient mode-seeking algorithm. In comparison to other holistic approaches, we can recover body poses from occlusion or noisy data. We demonstrate the power of our method in two publicly available datasets and propose a third one. Finally, we achieve state-of-the-art results in comparison to other approaches.
逃避现实
发表于 2025-3-22 23:35:50
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CREST
发表于 2025-3-23 03:49:41
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Cardiac
发表于 2025-3-23 08:08:30
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