Submission: PPF_3D_ICP/YCB-V/PPF_3D_ICP

Download submission
Submission name PPF_3D_ICP
Submission time (UTC) March 4, 2022, 5:26 a.m.
User yuecideng
Task Model-based 6D localization of seen objects
Dataset YCB-V
Training model type Default
Training image type None
Description
Evaluation scores
AR:0.411
AR_MSPD:0.268
AR_MSSD:0.333
AR_VSD:0.631
average_time_per_image:0.218

Method: PPF_3D_ICP

User yuecideng
Publication
Implementation https://github.com/yuecideng/Misc3D
Training image modalities D
Test image modalities D
Description

A modified implementation of paper "Drost et al., Model globally, match locally: Efficient and robust 3D object recognition, CVPR 2010". Add sparse icp and dense icp for post processing.

Computer specifications intel@core i7-1165G7 2.8Gz 8 threads