军械
发表于 2025-3-21 19:34:30
书目名称Intelligent Scene Modeling and Human-Computer Interaction影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469948<br><br> <br><br>书目名称Intelligent Scene Modeling and Human-Computer Interaction读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469948<br><br> <br><br>
生气地
发表于 2025-3-21 21:42:36
NBNN-Based Discriminative 3D Action and Gesture RecognitionRecognition (CVPR). IEEE, pp 1–8, .), have achieved great success in object recognition problem. This success in object recognition motivates us to develop non-parametric model to recognize skeleton-based action and gesture sequences. In our proposed method, each action/gesture instance is represent
maverick
发表于 2025-3-22 03:00:07
Random Forests with Optimized Leaves for Hough-Votingularly, the voting weights of leaf nodes in random forests have a big impact on performance. We propose to improve Hough-voting with random forests by learning optimized weights of leaf nodes during training. We have investigated two ways for the leaf weight optimization problem by either applying L
报复
发表于 2025-3-22 05:29:39
http://reply.papertrans.cn/47/4700/469948/469948_4.png
骨
发表于 2025-3-22 11:55:40
Model Reconstruction of Real-World 3D Objects: An Application with Microsoft HoloLensixed-reality (MR) applications. In recent years, with the availability of portable and low-cost sensing devices, such as the Kinect Sensor, capable of acquiring RGB-Depth data in real-time, has brought about a profound advancement of the object reconstruction approaches. In this chapter, we present
Orthodontics
发表于 2025-3-22 13:36:08
http://reply.papertrans.cn/47/4700/469948/469948_6.png
Mast-Cell
发表于 2025-3-22 20:30:58
http://reply.papertrans.cn/47/4700/469948/469948_7.png
不给啤
发表于 2025-3-22 22:25:45
Interactive Labeling for Generation of CityGML Building Models from Meshesalysis, the data of the buildings obtained from acquisition and modeling processes are often mere geometry/graphics information. This paper considers the problem of converting 3D building models from a graphical format such as Wavefront OBJ to CityGML which includes semantic information. The problem
饶舌的人
发表于 2025-3-23 04:45:58
http://reply.papertrans.cn/47/4700/469948/469948_9.png
drusen
发表于 2025-3-23 07:35:52
Generating 3D Facial Expressions with Recurrent Neural Networksnd the generation of new images depicting learned objects. Some of the properties that make neural networks suitable for such tasks, for example, robustness to the input’s low-level feature, and the ability to retrieve contextual information, are also desirable in 3D shape domain. During last decade