#7348. Snap2cad: 3D indoor environment reconstruction for AR/VR applications using a smartphone device

September 2026publication date
Proposal available till 13-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Engineering (all);
Computer Graphics and Computer-Aided Design;
Signal Processing;
Computer Vision and Pattern Recognition;
Software;
Human-Computer Interaction;
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Abstract:
Indoor environment reconstruction is a challenging task in Computer Vision and Computer Graphics, especially when Extended Reality technologies are considered. Current solutions that employ dedicated depth sensors require scanning of the environment and tend to suffer from low resolution and noise, whereas solutions that rely on a single photo of a scene cannot predict the actual position and scale of objects due to scale ambiguity. The proposed system addresses these limitations by allowing the user to capture single views of objects using an Android smartphone equipped with a single RGB camera and supported by Google ARCore.
Keywords:
3D Object pose estimation; 3D Object retrieval; Augmented reality; Machine learning; Scene reconstruction; Virtual reality

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