Results 41 to 50 of about 528,144 (284)
Continuum limit of total variation on point clouds [PDF]
, 2014 We consider point clouds obtained as random samples of a measure on a Euclidean domain. A graph representing the point cloud is obtained by assigning weights to edges based on the distance between the points they connect.
Slepčev, Dejan +1 more
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Ridge-Valley-Guided Sketch-Drawing From Point Clouds
IEEE Access, 2018 Sketch-drawing is one of the simplest and most direct means to illustrate 3-D objects. It can not only present geometric features, but also greatly facilitate us to identify and understand the object.
Yinghui Wang +8 more
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DETECTION OF SLOPE MOVEMENT BY COMPARING POINT CLOUDS CREATED BY SFM SOFTWARE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper proposes movement detection method between point clouds created by SFM software, without setting any onsite georeferenced points. SfM software, like Smart3DCaputure, PhotoScan, and Pix4D, are convenient for non-professional operator of ...
K. Oda, S. Hattori, T. Takayama
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magazén, 2022 The Space, Place, Sound, and Memory: Immersive Experiences of the Past project was led by dr James Cook, in collaboration with the Digital Documentation and Innovation team at Historic Environment Scotland, Soluis Heritage, the Binchois Consort, and scholars at the universities of Birmingham and Melbourne. It used cutting-edge technology to reconstruct
Cook, James, Mirashrafi, Sophia
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Predictive point-cloud compression [PDF]
ACM SIGGRAPH 2005 Sketches on - SIGGRAPH '05, 2005 Point clouds have recently become a popular alternative to polygonal meshes for representing three-dimensional geometric models. 3D photography and scanning systems acquire the geometry and appearance of real-world objects in form of point samples.
Stefan Gumhold +3 more
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International Journal of Applied Earth Observations and GeoinformationWithin this study, we present a pioneering cross-platform point cloud registration (PCR) framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds.
Ge Xuming +5 more
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Fast and robust 3D feature extraction from sparse point clouds [PDF]
, 2016 Matching 3D point clouds, a critical operation in map building and localization, is difficult with Velodyne-type sensors due to the sparse and non-uniform point clouds that they produce.
GRISETTI, GIORGIO +2 more
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Point cloud filtering on UAV based point cloud
Measurement, 2019 Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have been attracted wide attentions such as a new measurement equipment and mapping, which are capable of the high-resolution point cloud data collection. In addition, a massive point cloud data has brought about the data filtering and irregular data organization for the generation of digital terrain
Mustafa Zeybek, İsmail Şanlıoğlu
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3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
, 2019 We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algorithm, which first estimates reference planes and follows by projecting ...
Chen, Siheng +2 more
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Instance Segmentation of Sparse Point Clouds with Spatio-Temporal Coding for Autonomous Robot
MathematicsIn the study of Simultaneous Localization and Mapping (SLAM), the existence of dynamic obstacles will have a great impact on it, and when there are many dynamic obstacles, it will lead to great challenges in mapping. Therefore, segmenting dynamic objects
Na Liu +5 more
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