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Pixel-perfect-sfm Alternatives
Similar projects and alternatives to pixel-perfect-sfm
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pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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voxblox
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
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photometricBA
Photometric Bundle Adjustment as a refinement step after feature-based Structure-from-Motion
pixel-perfect-sfm reviews and mentions
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On replacing Colmap
Are there alternatives available to the SfM pipeline? https://github.com/cvg/pixel-perfect-sfm for instance takes a deep NN to predict surfaces in the dense step ( not needed for GSplats), is a trained approach for spare reconstruction thinkable, are there other SfM methods that are significantly faster or find more features?
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[advice] lost in the field
If you are interested in camera pose estimation from images, then the state of the art baseline is still Colmap which is used by industry and research. You can checkout concurrent work like https://github.com/cvg/pixel-perfect-sfm. Should be a lot of tutorials and documentation for you to get it running.
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Photometric Bundle Adjustment library?
Finally there is also https://github.com/cvg/pixel-perfect-sfm which does do some photometric/dense refinement, but I think it only works in the featuremetric space. So not exactly photometric.
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Questions for SLAM/SfM for Dense 3D Reconstruction (DSO vs ORB, Monofusion etc.)
I've stumbled upon this and that using DL, and will try to check to simultaneously evaluate them next to developing something using pySLAM. At least that's the current plan.
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A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
Stats
cvg/pixel-perfect-sfm is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of pixel-perfect-sfm is C++.
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