ModelSpeed up ratio (Compare with Pytorch) PointNet1.06 PointNet ++1.85 PointCNNNone (No pytorch implementation) DGCNN1.05 PointConvNone (No pytorch implementation) 目录结构 .├── data_utils # 数据相关工具 │ ├── data # 数据存放路径 │ ├── modelnet40_loader.py │ └── shapenet_loade...
The change in cloud point was found to be more in case of nicotinamide as compare to urea. The influence of an additive on the cloud point depends on how it affects the intermicellar interactions. An effort has been made to understand the interaction between solvent and additives leading to ...
180 static int compare (T a, T b); 181 182 const unsigned char window_size_;
doi.org 掌桥科研 Semantic Scholar (全网免费下载) adsabs.harvard.edu ResearchGate 查看更多 相似文献 参考文献 引证文献A comparative evaluation of interest point detectors and local descriptors for visual SLAM In this paper we compare the behavior of different interest point detectors and descriptors under...
The number of registration solutions in the literature has bloomed recently. The iterative closest point, for example, could be considered as the backbone of many laser-based localization and mapping systems. Although they are widely used, it is a common challenge to compare registration solutions ...
The evaluation results shown by this work suggest that researchers are in the right way towards shape descriptors which can capture the main characteristics of 3D models, however, more tests still need to be made, since this is the first time we compare non-rigid signatures for point-cloud ...
We compare the proposed method with several relevant algorithms and apply it to some computer graphics applications, such as interest point detection, viewpoint selection, and mesh simplification. The experimental results demonstrate the superior performance of the proposed method. 展开 关键词:...
We perform extensive simulation and real-world experiments to validate the efficacy of our approach and compare the performance with state-of-art approaches. 展开 关键词: Computer Science - Computer Vision and Pattern Recognition DOI: 10.48550/arXiv.1908.07906 年份: 2019 ...
We describe the architecture, and compare its performance against state-of-the-art in common registration scenarios. The architecture offers some remarkable properties including: generalization across shape categories and computational efficiency - opening up new paths of exploration for the application of ...
We tried to apply two types of image matching, an object space-based matching technique and an image space-based matching technique, and to compare the performance of the two techniques. The object space-based matching used here sets a list of candidate height values for a fixed horizontal ...