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0 starsJupyter Notebook
Incremental SfM pipeline that reconstructs 3D point clouds from images
by egeozgul·Jun 6, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Working SfM pipeline from scratch, but COLMAP already does this at production scale.
Strengths
- •Full pipeline from SIFT matching through triangulation with RANSAC outlier rejection
- •Jupyter notebook walkthrough makes the math and implementation accessible
- •Real dataset with Maiden's Tower photos demonstrates orbit coverage requirements
Weaknesses
- •No novel techniques beyond standard OpenCV photogrammetry workflows
- •Zero stars, no documentation beyond the README, unclear maintenance plans
Category
Target Audience
Computer vision developers, students learning photogrammetry
Similar To
COLMAP · OpenMVG · AliceVision
Post Description
Built an incremental Structure from Motion pipeline that reconstructs a sparse 3D point cloud from a sequence of images. Used Kız Kulesi (Maiden's Tower) in Istanbul as the demo dataset. Interactive 3D viewer included.
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