A Geometric Descriptor for Cell-Division Detection
Authors: Marcelo Cicconet, Italo Lima, Davi Geiger, Kris Gunsalus
ICLR 2013

Abstract: We describe a method for cell-division detection based on a geometric-driven descriptor that can be represented as a 5-layers processing network, based mainly on wavelet filtering and a test for mirror symmetry between pairs of pixels. After the centroids of the descriptors are computed for a sequence of frames, the two-steps piecewise constant function that best fits the sequence of centroids determines the frame where the division occurs.


Peer review:
[Review]:
This paper aims to annotate the point at which cells divide in a video sequence.

Pros:
- a useful and interesting application.

Cons:
- it does not seem to involve any learning, it clearly does not fit at ICLR.
- no comparison to other systems nor description of the dataset, nor cross-validation.
- the results are not that impressive considering they are not that far from the results of a simple image difference. I think a learnt model would perform better at this task.