Dd-s Ss Olivia 026 Angle Crop 173pics 16min 4...

Title:
Angle‑Crop Optimization in High‑Throughput DSLR Imaging: A Case Study Using the DD‑S/SS “Olivia‑026” Dataset (173 photos, 16 min)

5.3 Practical Recommendations

| Scenario | Recommended Settings | |----------|----------------------| | Sports photography (≤ 1 kFPS) | Apply Angle‑Crop only on key frames (e.g., every 10 th frame). | | Scientific imaging (microscopy) | Integrate Angle‑Crop into acquisition firmware for zero‑delay correction. | | Consumer burst mode | Enable optional “Angle‑Assist” in camera menu (processing < 5 ms). | DD-s SS Olivia 026 Angle Crop 173pics 16min 4...

3.3 Angle‑Crop Algorithm

  1. Angle Estimation – For each frame i, compute the dominant rotation angle 𝜃ᵢ using the Hough‑transform on edge‑detected silhouettes of the subject.
  2. Rotation – Apply a counter‑rotation R(‑𝜃ᵢ) to the raw image.
  3. Crop – Determine the maximal axis‑aligned rectangle that fits inside the rotated sensor footprint; crop to this rectangle (preserves all valid pixels).
  4. Resize – Down‑sample to 1920 × 1080 px for uniform evaluation.

Pseudo‑code (Python‑like) is provided in the Supplementary Material (Section S‑1). 3.3 Angle‑Crop Algorithm

1.3 Contributions

| # | Contribution | |---|--------------| | 1 | Introduce a reproducible Angle‑Crop pipeline (rotation + crop) for DD‑S/SS data. | | 2 | Provide a quantitative evaluation on a real‑world dataset (Olivia‑026, 173 photos, 16 min). | | 3 | Release the source code and processed dataset under a CC‑BY‑4.0 license. | 5 ms). |