Fig. 9 shows results on meshes from the Shape2Pose dataset [19]. The results demonstrate that without any fine-tuning on the mesh data, 3DMatch can be used as a general 3D shape descriptor to find correspondences with similar local geom- etry between meshes. Interestingly 3DMatch is also ...
Includes code to generate mesh correspondence visualizations on the meshes from theShape2Pose datasetusing 3DMatch. You can also download our pre-computed data (TDF voxel grid volumes of the meshes, surface keypoints, 3DMatch descriptors)here. For a quick visualization, run the Matlab scriptkeypoi...
riedoutonadatasetpubliclyavailableforthistaskshowtioncoefficientisusedasameasureofsimilarityfordetecting promisingresults,suggestingalsoanumberofdirectionsforlargecopy-movedblocksandasimilarapproachisfollowed futureresearch.in[9]withspatio-temporalblocks.However,usingtheauto- ...
Real-time 3D reconstructionBenchmark datasetWe provide a database aimed at real-time quantitative analysis of 3D reconstruction and alignment methods, containing 3140 point clouds from 10 subjects/objects. These scenes are acquired with a high-resolution 3D scanner. It contains depth maps that ...
We create our Oxford 2D-3D Patches dataset from the Oxford Robotcar dataset with the ground truth camera poses and 2D-3D image to point cloud correspondences for training and testing the deep network. Experimental results verify the feasibility of our approach. 展开 ...
In order to compute the recall, first run thecorrespondenceMatching.mand then theevaluate3DMatchDataset.m. With small changes of the point cloud names and paths, the code can also be used to evaluate the performance on the ETH data set. ...
One of the major obstacles to improving rotationregressionis expensive rotation annotations. Though many large-scale image datasets have been curated with sufficient semantic annotations, obtaining a large-scale real dataset with rotationannotationscan be extremely laborious, expensive and error-prone. With...
- 模型在图像匹配(HPatches)效果明显,但是在3D reconstructionn(ETH benchmark)和Visual Localization(Aachen Day-Night dataset)等验证结果貌似和D2Net,R2D2不相上下,没有state-of-art水平。 - ASLFeat缺点:大尺度旋转的问题没有很好解决(谁来拯救形变?), 特征点提取10K,匹配阶段会很耗时。 - [ASLFeat: Learning...
# 修改前的错误代码 # train_loader = DataLoader(dataset=train_dataset, batch_size=1, shuffle=True) # 修改后的正确代码 train_loader = DataLoader(dataset=train_dataset, batch_size=16, shuffle=True) 5. 重新运行并验证 修改数据加载代码后,重新运行你的训练脚本,并验证是否还会出现批量大小不匹配的Val...
A system identifies a first number of distinct values stored in a first field by a dataset of records. The system identifies a second number of distinct values stored in a second field by the dataset of records. The system creates a trie from values stored in a field by multiple records,...