WO2023036228 - SYSTEM AND METHOD FOR PROPOSAL-FREE AND CLUSTER-FREE PANOPTIC SEGMENTATION SYSTEM OF POINT CLOUDS

National phase entry:
Publication Number WO/2023/036228
Publication Date 16.03.2023
International Application No. PCT/CN2022/117761
International Filing Date 08.09.2022
Title **
[English] SYSTEM AND METHOD FOR PROPOSAL-FREE AND CLUSTER-FREE PANOPTIC SEGMENTATION SYSTEM OF POINT CLOUDS
[French] SYSTÈME ET PROCÉDÉ POUR SYSTÈME DE SEGMENTATION PANOPTIQUE SANS PROPOSITION ET SANS GRAPPE DE NUAGES DE POINTS
Applicants **
HUAWEI TECHNOLOGIES CO., LTD. Huawei Administration Building, Bantian, Longgang District Shenzhen, Guangdong 518129, CN
Inventors
LI, Thomas Enxu 1352 Underwood Dr. Mississauga, Ontario L4W 3L1, CA
RAZANI, Ryan 194 Holmes Avenue Toronto, Ontario M2N 4N1, CA
LIU, Bingbing 911-111, Upper Duke Cres. Markham, Ontario L6G 0C8, CA
Priority Data
63/241,986   08.09.2021   US
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Quotation for National Phase entry

Country StagesTotal
China Filing3016
EPO Filing, Examination38966
Japan Filing595
South Korea Filing575
USA Filing, Examination19110
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Total: 62262

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Abstract[English] Systems and methods for panoptic segmentation of a point cloud are provided. A point cloud is projected into a range image. Features are extracted from the range image and generating a feature map from the extracted features. The feature map is downsampled and the features are scaled during downsampling using local geometry. Features are extracted from the downsampled feature map. The point cloud is semantically segmented at least partially based on the features extracted. Instances in the point cloud are segmented at least partially based on the features extracted.[French] L'invention concerne des systèmes et des procédés de segmentation panoptique d'un nuage de points. Un nuage de points est projeté dans une image télémétrique. Des caractéristiques sont extraites de l'image télémétrique et une carte de caractéristiques est générée à partir des caractéristiques extraites. La carte de caractéristiques est sous-échantillonnée et les caractéristiques sont mises à l'échelle pendant un sous-échantillonnage à l'aide d'une géométrie locale. Des caractéristiques sont extraites de la carte de caractéristiques sous-échantillonnée. Le nuage de points est segmenté sémantiquement au moins partiellement sur la base des caractéristiques extraites. Les instances dans le nuage de points sont segmentées au moins partiellement sur la base des caractéristiques extraites.
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