ideas: stereo/spatial-video ingest, depth seeding, microcontroller rig kit; mark phase-5 items shipped
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Parking lot for post-v0.1.0 extensions (spec §5 future-extensions). Not committed work — a place
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to capture direction so the prototype's scope stays honest. Roughly ordered by payoff-to-effort.
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> **Status 2026-07-17:** splatting ✅ shipped (see `modelbeast-crossover.md`); spatial audio ✅
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> shipped (🎧, WebAudio master clock). Cinematic export → **M12**, multi-modal audio analysis →
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> **M10/M11**, anchor manager → **M13**, path persistence → **M16** — all now specced in
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> `plan/20-phase5.md`. Still parked here: realtime ingest, object/artist tracking,
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> per-project workspaces, sync-graph visualization, per-moment splats (crossover doc §3).
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> **Status 2026-07-17 (evening):** splatting ✅ shipped (see `modelbeast-crossover.md`);
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> spatial audio ✅ shipped (🎧, WebAudio master clock). Cinematic export ✅ **M12**,
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> multi-modal audio analysis ✅ **M10/M11**, anchor manager ✅ **M13**, path persistence ✅
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> **M16** — all SHIPPED in phase 5 (`plan/20-phase5.md`, suite floor 189). Still parked here:
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> realtime ingest, object/artist tracking, per-project workspaces, sync-graph visualization,
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> per-moment splats (crossover doc §3), and the new hardware ideas below.
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## Neural rendering — Gaussian Splatting
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Replace the sparse COLMAP point cloud with a **3D Gaussian Splatting** model for photorealistic
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@ -40,6 +41,32 @@ Extend M8 (manual bbox → 3D anchor) with automatic per-frame tracking (e.g. a
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tracker), so an anchor follows the lead performer across time instead of being static. Enables
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a "follow artist" auto-camera mode in the 3D viewer.
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## Stereo / spatial-video ingest (split the eyes, pin the scale)
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Spatial video (iPhone 15 Pro+ MV-HEVC, QooCam, Canon dual-fisheye) is two synced views with a
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**factory-known baseline**. Ingest tweak: detect multi-view files and split L/R into two
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pipeline videos (ffmpeg can demux the streams; identical offset, shared audio). Payoff beyond
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one extra viewpoint: COLMAP reconstructions are scale-free, and a known stereo baseline anchors
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**metric scale** for the whole scene — real-meter units for anchors, paths, and spatial audio
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distances. Cheap ingest change, high leverage.
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## Depth-camera seeding (small venues only)
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RGB-D cams (ZED 2i, OAK-D, LiDAR phones) can seed/regularize splat training (depth-supervised
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3DGS → fewer floaters, faster convergence) and densify the point cloud without SfM guessing.
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Honest constraint: consumer depth dies past ~10–15 m (LiDAR ~5 m), so this only pays at club /
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small-venue range, not a festival main stage. Ingest: accept a per-video depth track or
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per-frame depth PNGs alongside the RGB.
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## Microcontroller rig kit (Arduino as crew, not camera)
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An ESP32-CAM is not concert-grade — but a microcontroller on the rig earns its place three ways:
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- **Sync/calibration beacon:** an LED blinking a known pattern visible to all cameras =
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visual ground truth to validate the audio sync (and a free calibration target).
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- **Servo pan/tilt or slider mount:** one slowly-sweeping fixed camera contributes rich
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parallax from a single device; the per-frame pose track already handles moving cameras.
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- **Record start/stop trigger** for the whole rig.
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DIY camera *nodes* should be Raspberry Pi + **Global Shutter** camera module (kills
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rolling-shutter wobble under fast stage lights) pushing into the existing `/capture` endpoint
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(`FESTIVAL4D_CAPTURE=1`) — which was built for exactly this.
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## Quality-of-life
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- **Standalone anchor manager** — the delete UI currently lives in the event correction panel;
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a dedicated always-available anchor list would decouple anchor management from events.
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