Results 21 to 30 of about 5,571,343 (339)

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Point clouds captured in real-world applications are of-ten incomplete due to the limited sensor resolution, single viewpoint, and occlusion. Therefore, recovering the complete point clouds from partial ones becomes an indispensable task in many ...
Xumin Yu   +5 more
semanticscholar   +1 more source

Georeferenced Point Clouds: A Survey of Features and Point Cloud Management [PDF]

open access: yesISPRS International Journal of Geo-Information, 2013
This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed.
Johannes Otepka   +4 more
openaire   +5 more sources

PointCLIP: Point Cloud Understanding by CLIP [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Recently, zero-shot and few-shot learning via Contrastive Vision-Language Pre-training (CLIP) have shown inspirational performance on 2D visual recognition, which learns to match images with their corresponding texts in open-vocabulary settings. However,
Renrui Zhang   +8 more
semanticscholar   +1 more source

Geodesics on Point Clouds [PDF]

open access: yesMathematical Problems in Engineering, 2014
We present a novel framework to compute geodesics on implicit surfaces and point clouds. Our framework consists of three parts, particle based approximate geodesics on implicit surfaces, Cartesian grid based approximate geodesics on point clouds, and geodesic correction.
Hongchuan Yu, Jian J. Zhang, Zheng Jiao
openaire   +2 more sources

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Discrete point cloud objects lack sufficient shape descriptors of 3D geometries. In this paper, we present a novel method for aggregating hypothetical curves in point clouds.
Tiange Xiang   +4 more
semanticscholar   +1 more source

Picking Towels in Point Clouds [PDF]

open access: yesSensors, 2019
Picking clothing has always been a great challenge in laundry or textile industry automation, especially when some clothes are of the same colors, material and entangled with each other. In order to solve the problem, we present a grasp pose determination method to pick towels placed in a laundry basket or on a table. In our method, it is not needed to
Wang, Xiaoman   +5 more
openaire   +3 more sources

Topological Point Cloud Clustering

open access: yesProceedings of the 40th International Conference on Machine Learning. International Conference on Machine Learning, ICML 2023, Honolulu, USA, 2023
Accepted at the 40th International Conference on Machine Learning (ICML), 2023.
Grande, Vincent P., Schaub, Michael T.
openaire   +3 more sources

Point Cloud to Sound Cloud

open access: yesmagazén, 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 ...
Cook, James, Mirashrafi, Sophia
doaj   +1 more source

PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Removing outlier correspondences is one of the critical steps for successful feature-based point cloud registration. Despite the increasing popularity of introducing deep learning techniques in this field, spatial consistency, which is essentially ...
Xuyang Bai   +7 more
semanticscholar   +1 more source

PointMixup: Augmentation for Point Clouds [PDF]

open access: yes, 2020
This paper introduces data augmentation for point clouds by interpolation between examples. Data augmentation by interpolation has shown to be a simple and effective approach in the image domain. Such a mixup is however not directly transferable to point clouds, as we do not have a one-to-one correspondence between the points of two different objects ...
Chen, Y.   +6 more
openaire   +5 more sources

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