Abstract
Structure-from-motion and multi-view stereo can be used to create 3D models from image sequences, but are not widely adopted by consumers. We study how to address two challenges of such systems for non-professional users: 1) their technical complexity, and, 2) the computational demand needed for processing. To this end, we embed an open-source pipeline in a scalable cloud environment and create a user interface aimed at non-professional users of photogrammetry systems. Finally, we evaluate both the cloud-based infrastructure and the user interface and demonstrate its usability.
Highlights
The ability to create 3D models from real-world objects and environments is a key enabler for content production for Extended Reality
Our goal was to develop and evaluate a scalable and opensource 3D reconstruction pipeline that can be used by nonprofessionals who do not have the technical knowledge required for photogrammetry software
The instructions stated that the web application takes a video as input and outputs a reconstructed 3D model representing the object recorded in that video
Summary
The ability to create 3D models from real-world objects and environments is a key enabler for content production for Extended Reality. While research on extracting 3D information from single views is on the rise Fahim et al (2021); Watson et al (2021) classic photogrammetry pipelines are still worthwhile to be considered. While both open-source and commercial photogrammetry software exists, they are not widely adopted by consumers. We study how to address two challenges of processing image sequences into a 3D model for non-professional users: 1) the technical complexity of the process, and, 2) the computational demand needed for processing, typically requiring access to GPU accelerated computing hardware
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