| | --- |
| | pretty_name: Dynamic Multi-View Matching Benchmark |
| | tags: |
| | - synthetic |
| | - blender |
| | - multi-view |
| | - feature-matching |
| | - correspondence |
| | - depth |
| | - instance-segmentation |
| | task_categories: |
| | - image-feature-extraction |
| | - keypoint-detection |
| | - depth-estimation |
| | - image-segmentation |
| | license: other |
| | language: |
| | - en |
| | --- |
| | |
| | # Evaluating Feature Matching in Dynamic Scenes: A Novel Dataset for Benchmarking |
| |
|
| | ## Summary |
| | This repository contains: |
| | 1) **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). |
| | 2) **Evaluation outputs** obtained by running matching models on the dataset using [Glue Factory](https://github.com/cvg/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 |
