Three-dimensional object recognition and segmentation in cluttered scenes

Citation Author(s):
Ajmal
Mian
Submitted by:
Ajmal Mian
Last updated:
Fri, 01/13/2023 - 04:29
DOI:
10.21227/6rgk-8697
Data Format:
PLY files
Link to Paper:
Three-dimensional model-based object recognition and segmentation in cluttered scenes
License:
Creative Commons Attribution
297 Views
Categories:
Artificial Intelligence
Machine Learning
Sensors
Computer Vision
Keywords:
3D models; feature engineering; shape descriptor; object recognition; segmentation
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Abstract 

This dataset contains 3D models of 5 objects and numerous scenes where the objects are placed randomly creating occlusions and cluttered scenes. The 3D models are to be used to find them in the scene (object recognition) and segment them as well.

Instructions: 

Ground truth locations of the objects are given in the GroundTruth_3Dscenes.zip file. Using Scanalyze (Stanford University), you can verify the .xf files.

Funding Agency: 
Australian Research Council
Grant Number: 
DP0344338

Comments

dd

Submitted by Mohamed nisar Ahsan on Sat, 01/14/2023 - 01:01

hi

Submitted by Zhao Jiawen on Fri, 04/21/2023 - 10:20

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