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Evaluating Feature Matching in Dynamic Scenes: A Novel Dataset for Benchmarking

Summary

This repository contains:

A synthetic multi-view dataset generated in Blender for benchmarking feature matching under camera motion + scene dynamics (object motion / addition-removal / scale changes / lighting changes).
Evaluation outputs obtained by running matching models on the dataset using Glue Factory framework.

What is inside this repo

A) Dataset (blender_dataset folder)

The dataset consists of multi-view scenes. Each scene provides:

RGB renders (.png)
Depth maps (.exr)
Object masks (.exr)
Calibrated camera parameters per view (.npz: intrinsics + extrinsics)
Per-object pose/scale per view (.npz)

B) Evaluation artifacts (outputs.zip file)

This repo also includes artifacts produced by running evaluation on:

SuperGlue
LoFTR
LightGlue
GlueStick

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