Capabilities and consequences of recursive, hierarchical information processing in visual systems

Principal Investigators:

Oliver Brock 
Martin Rolfs

Team Members

Aravind Battaje (Doctoral researcher)
Angelica Godinez (Postdoctoral researcher)

 

 

A study on human and robot perception and the architecture of perceptual information processing

Research Unit 1, SCIoI Project 02

This research project investigates human and robot perception and aims to develop a constructive understanding of perceptual information processing. This will be done by setting up a hierarchical functional architecture for synthetic perceptual systems to uncover potential consequences that can be tested psychophysically in these systems and compared to performance of humans. By examining the resulting analytic-synthetic loop, we will derive intelligent principles of processing in hierarchical perceptual systems, discover discrepancies from these principles in biological implementations (i.e., in humans) and, ideally, determine the sources of potential constraints revealed by the data collected in human participants. Based on the resulting insights we will produce an algorithmic model of human perception, capable of replicating observed phenomena and of making meaningful predictions about experimental outcomes. We will also produce robot perception algorithms that leverage insights about the human perceptual system to advance the state of the art in the synthetic disciplines.

Related Publications

Mengers, V., Battaje, A., Baum, M., & Brock, O. (2023). Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time. ICRA 2023.
Godinez, A., Battaje, A., Brock, O., & Rolfs, M. (2023). Probing Perceptual Mechanism of Shape-Contingent Color after-Images via Interconnected Recursive Filters. Journal of Vision 23 / VSS 2023. https://doi.org/10.1167/jov.23.9.4885
Baum, M., Froessl, A., Battaje, A., & Brock, O. (2023). Estimating the Motion of Drawers From Sound. ICRA 2023.
Battaje, A., Brock, O., & Rolfs, M. (2023). An Interactive Motion Perception Tool for Kindergarteners (and Vision Scientists). IPerception. https://doi.org/10.1177/20416695231159182
Battaje, A., & Brock, O. (2021). Interconnected Recursive Filters in Artificial and Biological Vision. DGR Days 2021, 32–32. https://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/battaje21DGR.pdf
Battaje, A., & Brock, O. (2022). One Object at a Time: Accurate and Robust Structure From Motion for Robots. IROS 2022. https://doi.org/10.1109/IROS47612.2022.9981953