An autoencoder plus regression network aligns 3D+t zebrafish embryo point clouds in time without manual annotation, with 3.83 minute average error on synthetic ground truth.
Scientific Reports5(1), 8601 (2015)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
An autoencoder plus regression network aligns 3D+t zebrafish embryo point clouds in time without manual annotation, with 3.83 minute average error on synthetic ground truth.