In this work, we argue that a key reason is that compared to point coordinates, rotation-invariant features consumed by point cloud convolution are not as distinctive. To address this problem, we propose a simple yet effective convolution operator that enhances feature distinction by designing ...
论文阅读: Rotation Invariant Convolutions for 3D Point Clouds Deep Learning : 解决点云旋转问题方法: 点云受旋转影响主要有两个:输入特征和提取局部特征的过程1)特征改为旋转不变的特征:两条边长,两个角度2)旋转不变的卷积,类似shellnet,按中心点和重心连线方向... 2)只考虑了旋转不变的特征而没考虑原始...
Zhang Z, Hua B-S, Yeung S-K (2022) Riconv++: Effective rotation invariant convolutions for 3D point clouds deep learning. Int J Comput Vision 130(5):1228–1243. https://doi.org/10.1007/s11263-022-01601-z Article Google Scholar Gojcic Z, Zhou C, Wegner JD, Wieser A (2019) The...
To alleviate inevitable global information loss caused by the rotation-invariant representations, we further introduce a region relation convolution to encode local and non-local information. We evaluate our method on multiple point cloud analysis tasks, including (i) shape classification, (ii) part ...
We construct spherical signalsby adaptive sampling from sparse points and employ spher-ical convolutions, together with tri-linear interpolation toextract rotation-invariant features for each point. Our net-work can be applied in applications ranging from objectclassif i cation, part segmentation, to ...
title={Pointwise rotation-invariant network with adaptive sampling and 3d spherical voxel convolution}, author={You, Yang and Lou, Yujing and Liu, Qi and Tai, Yu-Wing and Ma, Lizhuang and Lu, Cewu and Wang, Weiming}, ...
The anchor mechanism could solve the scale invariance well; meanwhile, the convolution part can solve the translation invariance, but the Faster R-CNN network does not have the rotation invariance. For remote sensing images, the connection between the object and the scene is often greater than ...
Parameter 𝑁𝑠Ns denotes the number of convolution scales of the log-Gabor filter, and since it does not have much influence on the method, we took the default value of 4 here. 𝑁𝑜No is the number of filter orientations. Generally speaking, the larger the 𝑁𝑜No, the more ...
4720871Digital image convolution processor method and apparatus1988-01-19Chambers382/278 4538227Medical image processor1985-08-27Toraichi et al.364/414 Other References: Point Correlation: A Reduced-Cost Template Matching Technique, W. Krattenthaler et al., Forschungszentrum Seibersdorf, presented at Firs...
An affine invariant representation is constructed with a cascade of invariants, which preserves information for classification. A joint translation and rotation invariant representation of image patches is calculated with a scattering transform. It is implemented with a deep convolution network, which comput...