CVAILGROJun 10, 2023

3D reconstruction using Structure for Motion

arXiv:2306.06360v11 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

This work addresses 3D reconstruction for indoor environments, but it appears incremental as it applies existing Structure from Motion methods without clear novel contributions.

The paper tackled 3D reconstruction of indoor spaces by using a stereo vision setup with HDR cameras on a mobile robot to capture 2D images, resulting in the generation of a depth map for visualization.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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