3D reconstruction using Structure for Motion
Kshitij Karnawat, Hritvik Choudhari, Abhimanyu Saxena, Mudit Singal,, Raajith Gadam
TL;DR
This paper presents a method for 3D indoor space reconstruction using stereo HDR cameras on a mobile robot, capturing textures and features to generate depth maps for visualization.
Contribution
It introduces a system combining stereo HDR imaging with real-time 3D reconstruction for indoor environments on a mobile robot.
Findings
Successful depth map visualization of indoor spaces
Effective use of HDR stereo images for 3D modeling
Real-time reconstruction capability
Abstract
We are working towards 3D reconstruction of indoor spaces using a pair of HDR cameras in a stereo vision configuration mounted on an indoor mobile floor robot that captures various textures and spatial features as 2D images and this data is simultaneously utilized as a feed to our algorithm which will allow us to visualize the depth map.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotics and Sensor-Based Localization · Advanced Vision and Imaging · 3D Surveying and Cultural Heritage