浮浅
发表于 2025-3-21 19:50:23
书目名称Computer Vision Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234032<br><br> <br><br>书目名称Computer Vision Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234032<br><br> <br><br>
Arthr-
发表于 2025-3-21 20:53:22
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种属关系
发表于 2025-3-22 03:30:07
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决定性
发表于 2025-3-22 07:28:34
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认识
发表于 2025-3-22 12:30:05
Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detectioncause the feature vector is very high-dimensional. In this paper, in order to achieve rapid detection, we propose a novel method to divide the CoHOG feature into small features and construct a cascade-structured classifier by combining many weak classifiers. The proposed cascade classifier rejects n
谄媚于性
发表于 2025-3-22 16:23:41
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谄媚于性
发表于 2025-3-22 18:23:55
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Indict
发表于 2025-3-23 00:48:01
Individual Identification Using Gait Sequences under Different Covariate Factorstance using low-resolution capturing device. Human gait properties can be affected by different clothing and carrying objects (i.e. covariate factors). Most of the literature shows that these covariate factors give difficulties for individual identification based on gait. In this paper, we propose a
纬线
发表于 2025-3-23 04:54:58
Using Local Symmetry for Landmark Selection points are detected using contrast features, for instance those of the Scale Invariant Feature Transform (SIFT). The SIFT interest points, however, have problems with stability, and noise robustness. Taking our inspiration from human vision, we therefore propose the use of local symmetry to select
内行
发表于 2025-3-23 05:40:04
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