公开(公告)号：US20230010407A1

公开(公告)日：2023-01-12

申请号：US17857637

申请日：2022-07-05

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyuk-Min KWON ,  Jin-Young LEE ,  Kyu-Heon KIM ,  Jun-Sik KIM

IPC: G06T9/00

Abstract: Disclosed herein is a method for compressing point cloud data. The method includes quantizing input point cloud data, generating a global motion matrix based on the quantized point cloud data, applying the global motion matrix based on whether local motion compression is performed, and compressing data to which the global motion matrix is applied.

公开(公告)号：US20220254095A1

公开(公告)日：2022-08-11

申请号：US17583691

申请日：2022-01-25

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyuk-Min KWON ,  Hyun-Cheol KIM ,  Jeong-Il SEO ,  Sang-Woo AHN ,  Seung-Jun YANG

IPC: G06T15/08 ,  G06T15/10

Abstract: Disclosed herein are an apparatus and method for searching for a global minimum of a point cloud registration error. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program performs collecting multiple registration results in which the registration error between a source point cloud and a target point cloud is a local minimum as candidates and selecting the registration result in which the registration error between the source point cloud and the target point cloud is a global minimum, among the candidates. Collecting the multiple registration results may comprise repeatedly randomly initializing the source point cloud and the target point cloud and registering the initialized source point cloud to the initialized target point cloud to thereby search for a registration result in which the registration error therebetween is a local minimum.

公开(公告)号：US20220114762A1

公开(公告)日：2022-04-14

申请号：US17476780

申请日：2021-09-16

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyuk-Min KWON ,  Jin-Young LEE ,  Kyu-Heon KIM ,  Jun-Sik KIM

IPC: G06T9/00 ,  G06T7/20 ,  G06T7/11

Abstract: Disclosed herein are a method for compressing a point cloud based on global motion prediction and compensation and an apparatus for the same. The method includes receiving 3D point cloud data configured with point cloud frames that represent continuous global motion; dividing the point cloud data into point cloud data segments using a histogram generated based on the Z-axis of the point cloud data; performing a global motion search based on an occupancy map for each of the point cloud data segments; and performing motion compression for the point cloud data based on the result of the global motion search performed for each of the point cloud data segments.