Results 21 to 30 of about 758,831 (346)
Semantic segmentation of large-scale outdoor 3D LiDAR point clouds becomes essential to understand the scene environment in various applications, such as geometry mapping, autonomous driving, and more.
Beanbonyka Rim, Ahyoung Lee, Min Hong
doaj +2 more sources
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation
Semantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
doaj +2 more sources
Multi-scale space smoothing and segmentation of range data for robot navigation [PDF]
One of the most essential problems for mobile robot navigation is to enable an autonomous robot to navigate in an unknown environment and to incrementally build a map of this environment while simultaneously using this map to compute its current location. This problem is usually referred to as Simultaneous Localization and Mapping (SLAM).
Fan Tang
openaire +4 more sources
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces
We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Sundaramoorthi, Ganesh+2 more
openaire +4 more sources
Yong Cheng+11 more
semanticscholar +2 more sources
Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions. [PDF]
G. Pintilie+4 more
semanticscholar +2 more sources
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
10 pages, 7 ...
Noh, Kyoung Jin+2 more
openaire +4 more sources
Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing [PDF]
M. Martínez-Pérez+5 more
semanticscholar +2 more sources
Scale-Equivariant UNet for Histopathology Image Segmentation [PDF]
Digital histopathology slides are scanned and viewed under different magnifications and stored as images at different resolutions. Convolutional Neural Networks (CNNs) trained on such images at a given scale fail to generalise to those at different ...
Yi-Lun Yang+2 more
semanticscholar +1 more source
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology [PDF]
J. F. Mangin, O. Coulon, V. Frouin
semanticscholar +2 more sources