Blacktip grouper · w32_fish3

Epinephelus fasciatus · Serranidae · 60% · low reconstructed model: fair species doubtful

Reviewer: plain reddish-brown body

Where it comes from

Original video (longest visit, 35:09-35:16), the selected fish boxed

Tracking: real frame + crop + 3D render at the estimated pose, species overlay

3D and 4D model

loading 3D gaussians…

Interactive canonical 3D gaussians (drag to orbit, scroll to zoom). This is the rest pose shared by every frame; the 4D part is the per-frame bending / tail motion shown on the right.

4D: canonical model replaying the learned body bending and tail beat

3D turntable of the canonical model

Poster

Species

Blacktip grouper Epinephelus fasciatus Serranidae

60.0%

Cheeklined wrasse Oxycheilinus digramma Labridae

25.1%

Green birdmouth wrasse Gomphosus caeruleus Labridae

5.1%

Social wrasse Cirrhilabrus rubriventralis Labridae

2.3%

Small toothed jobfish Aphareus furca Lutjanidae

1.4%

Family: Serranidae 61%, Labridae 35%, Lutjanidae 1% · agreement across crops 62% · 64 crops · bioclip-2.5 (hf-hub:imageomics/bioclip-2.5-vith14, open_clip, zero-shot)

Data and reconstruction

window	32:00 – 40:00
visits	6: 32:26-32:28, 34:53-34:55, 35:10-35:20, 36:45-36:48, 38:54-39:00, 39:21-39:24
frames (10 fps) detected / kept	217 / 211
valid poses (10 fps)	200
frames with background plate	175
median size	113.0 px
30 fps frames / valid poses	636 / 497
method	4D GS, fins + bending + tail (30 fps)
model shown	v1 (gs_final)
iterations	4000
gaussians	16866
training time	22 min
trainer validation PSNR full / masked	29.1 / 23.0 dB
trainer validation IoU vs SAM mask	0.850
near-fish band PSNR (fins)	29.8 dB
production status	done
visual note (curation)	brown barred wrasse/goatfish-like (review: tracklets t1937/t2228/t2308/t2398 of a pale blue-edged fish removed - 04b had rejected the same fish in w40_fish5)

Diagnostics

Held-out frames: real crop vs 4D render (composited over the plate)

Estimated pose: fitted ellipsoid + axes on crops

Frame cleaning: identity / occlusion over time

Frames down-weighted / dropped by the robust trainer

Downloads

point_cloud.ply (canonical 3D gaussians) · poses_refined.json · model.pt (incl. per-frame 4D params) · species.json

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