GitHub / Rishikesh-Jadhav / 3D-Indoor-Mapping-and-Object-Segmentation
This repository showcases our project, presenting an innovative approach to 3D Indoor Mapping and Object Segmentation. With a primary focus on robot navigation in complex environments, we introduce a methodology that uses RGB images for mapping and object segmentation by integrating SimpleRecon and Point-Voxel CNN for efficient scene reconstruction
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PURL: pkg:github/Rishikesh-Jadhav/3D-Indoor-Mapping-and-Object-Segmentation
Stars: 5
Forks: 1
Open issues: 0
License: None
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Size: 4.56 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 10 months ago
Pushed at: over 1 year ago
Last synced at: 4 months ago
Commit Stats
Commits: 16
Authors: 1
Mean commits per author: 16.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Rishikesh-Jadhav/3D-Indoor-Mapping-and-Object-Segmentation
Topics: 3dreconstruction, 3dvision, classification, computer-vision, deep-learning, depthmaps, multiview-stereo, point-cloud, pytorch, segmentation, voxel