Proceedings ArticleDOI
Theia: A Fast and Scalable Structure-from-Motion Library
Chris Sweeney,Tobias Höllerer,Matthew Turk +2 more
- pp 693-696
TLDR
A comprehensive multi-view geometry library that focuses on large-scale SfM pipelines and contains clean code that is well documented, easy to extend, and active contributors from the open-source community.Abstract:
In this paper, we have presented a comprehensive multi-view geometry library, Theia, that focuses on large-scale SfM. In addition to state-of-the-art scalable SfM pipelines, the library provides numerous tools that are useful for students, researchers, and industry experts in the field of multi-view geometry. Theia contains clean code that is well documented (with code comments and the website) and easy to extend. The modular design allows for users to easily implement and experiment with new algorithms within our current pipeline without having to implement a full end-to-end SfM pipeline themselves. Theia has already gathered a large number of diverse users from universities, startups, and industry and we hope to continue to gather users and active contributors from the open-source community.read more
Citations
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Journal ArticleDOI
Tanks and temples: benchmarking large-scale scene reconstruction
TL;DR: A benchmark for image-based 3D reconstruction with high-resolution video sequences provided as input, supporting the development of novel pipelines that take advantage of video input to increase reconstruction fidelity.
Journal ArticleDOI
Image Matching from Handcrafted to Deep Features: A Survey
TL;DR: This survey introduces feature detection, description, and matching techniques from handcrafted methods to trainable ones and provides an analysis of the development of these methods in theory and practice, and briefly introduces several typical image matching-based applications.
Proceedings ArticleDOI
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
TL;DR: GMS (Grid-based Motion Statistics), a simple means of encapsulating motion smoothness as the statistical likelihood of a certain number of matches in a region, enables translation of high match numbers into high match quality.
Book ChapterDOI
OpenMVG: Open Multiple View Geometry
TL;DR: The OpenMVG C++ library provides a vast collection of multiple-view geometry tools and algorithms to spread the usage of computer vision and structure-from-motion techniques.
Journal ArticleDOI
A survey of structure from motion
TL;DR: This survey includes a review of the fundamentals of feature extraction and matching, various recent methods for handling ambiguities in 3D scenes, SfM techniques involving relatively uncommon camera models and image features, and popular sources of data and S fM software.
References
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Book
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Journal ArticleDOI
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
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