Results 81 to 90 of about 997,464 (307)
A multimaterial approach is introduced to improve upon auxetic structures by combining two different polymers into the same reentrant honeycomb structure via additive manufacturing. The deformation behavior as well as the resulting Poisson's ratio are thereby improved significantly.
Alexander Engel+2 more
wiley +1 more source
Point Cloud Processing Software Solutions
Spatial data collection has been considerably improved with the invention of LiDAR and other laser scanning technologies. The result of surveying with these methods is a 3D point cloud.
Miroslav Vujasinović+2 more
doaj +1 more source
Towards uniform point distribution in feature-preserving point cloud filtering
While a popular representation of 3D data, point clouds may contain noise and need filtering before use. Existing point cloud filtering methods either cannot preserve sharp features or result in uneven point distributions in the filtered output.
Shuaijun Chen+5 more
doaj +1 more source
Point Cloud Completion: A Survey [PDF]
Point cloud completion is the task of producing a complete 3D shape given an input of a partial point cloud. It has become a vital process in 3D computer graphics, vision and applications such as autonomous driving, robotics, and augmented reality. These applications often rely on the presence of a complete 3D representation of the environment.
Keneni W. Tesema+4 more
openaire +3 more sources
Ultrahigh‐molecular‐weight polyethylene powders (<≈40 μm) with a bulk density of 260 g L−1 are prepared from a silica supported bisimine pyridine iron catalyst. The nascent product is disentangled and can be thermally densified without loss of its low viscosity.
Adrian Vaghar+4 more
wiley +1 more source
The digital 3D reconstruction process of coal mine fully mechanized working face roadways requires complete and dense coal wall point cloud data. Due to factors such as occlusion and limited viewing angle, the collected coal wall point cloud data of the ...
WANG Weibing+5 more
doaj +1 more source
Point Cloud Learning with Transformer
Abstract Remarkable performance from Transformer networks in Natural Language Processing promote the development of these models in dealing with computer vision tasks such as image recognition and segmentation. In this paper, we introduce a novel framework, called Multi-level Multi-scale Point Transformer (MLMSPT) that works directly on the ...
Zhong, Qi, Han, Xian-Feng
openaire +2 more sources
Comparative Study of Experimental Methods for Measuring Thermal Properties of 100Cr6 Steel Powders
This study investigates the thermal properties of 100Cr6 steel in both bulk and powder forms. Measuring the very low thermal conductivity typically exhibited by powders poses significant challenges. To address this, two novel measurement techniques—temperature gradient and finite laser pulse response—are introduced and evaluated by comparison with the ...
Junsheng Zhuo+8 more
wiley +1 more source
The formate pseudo‐halide anion is strategically introduced at the buried interface to stabilize the intermediate phases formed during perovskite crystallization. The controlled crystallization enhances crystallinity and alleviates tensile strain, eliminating residual PbI2 near the buried interface.
Jongdeuk Seo+12 more
wiley +1 more source
Developing a robust point cloud segmentation algorithm for individual trees from an amount of point cloud data has great significance for tracking tree changes.
Xiaoyu Hu, Dan Li
doaj +1 more source