papertrans 发表于 2025-3-21 20:09:09
书目名称Computer Vision and Machine Learning with RGB-D Sensors影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234070<br><br> <br><br>书目名称Computer Vision and Machine Learning with RGB-D Sensors读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234070<br><br> <br><br>Arteriography 发表于 2025-3-21 23:13:07
Calibration Between Depth and Color Sensors for Commodity Depth Camerasation information between the color and the depth cameras. Traditional checkerboard-based calibration schemes fail to work well for the depth camera, since its corner features cannot be reliably detected in the depth image. In this chapter, we present a maximum likelihood solution for the joint dept字谜游戏 发表于 2025-3-22 01:17:37
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Human Performance Capture Using Multiple Handheld Kinects. The reconstructed 3D performance can be used for character animation and free-viewpoint video. While most of the available performance capture approaches rely on a 3D video studio with tens of RGB cameras, this chapter presents a method for marker-less performance capture of single or multiple hum切碎 发表于 2025-3-22 10:30:36
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Matching of 3D Objects Based on 3D Curvesh device (RGB-D). Our processing pipeline consists of several steps. In the preprocessing step, we first detect edges in the depth image and merge them to 2D object curves which allows a back-projection to 3D space. Then, we estimate a local coordinate system for these 3D curves. In the next step, d一致性 发表于 2025-3-22 18:19:00
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