Open Source in-Situ Layer-wise  3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine

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@[osf](wdv8m) ### **Project description:** A. Petsiuk, J.M. Pearce. Layer-wise HOG-based anomaly detection in plastic FFF 3D printing. 2021 (!) Add link to arxiv.org @[osf](tgh3j) @[osf](khgb2) @[osf](67nwd) ### **Step by step walkthrough** (!) Update according to the README section 1. Virtual printing environment in Blender 2. HOG features 3. Similarity measures 4. HOG-based similarity estimation 5. Workflow example 6. Failure analysis

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