Landmark Fit Repair

Landmark classes

• structural_tip

  : outer part tips and extrema;

• shell_corner

  : face/shell/rim corners;

• feature

  : eyes, smile, brows, decals;

• ring

  : aura center/radius/dots;

• depth_marker

  : side/back/top thickness markers.

Workflow

1. Define a landmark JSON for the source reference.
2. Detect or render corresponding product landmarks.
3. Compare by name and view.
4. Convert deltas into repair actions: move boundary control point, scale one component, shift feature curve, tune depth, or adjust aura radius.
5. Rebuild from recipe; do not hand-edit final geometry without updating the recipe/manifest.

Hard gates

• No final export when named structural landmarks exceed tolerance.
• Face features must be validated separately from body silhouette.
• Aura/context landmarks must not affect base GLB acceptance.

Script

• scripts/landmark_fit_report.py

  compares two named-landmark JSON files and emits repair deltas.

Landmark JSON schema

{
  "schema": "landmarks.v1",
  "image_size": [width, height],
  "landmarks": [
    {"view":"front", "name":"leaf_top_tip", "class":"structural_tip", "x":627, "y":130}
  ]
}