Teaching
Bio-inspired Computer Vision (Spring 2020)
Here are the projects resulting from the course "Bio-inspired Computer Vision" taught at TU Berlin, Germany, during Spring 2020.
Instructors: Prof. Marianne Maertens (Computational Psychology) and Prof. Guillermo Gallego (Robotic Interactive Perception)
Contrast Sensitivity Functions
Team: Lynn Schmittwilken, Maher Sheikhi Aboumasoudi, Nicolas Roth, Florian Raphael Blume
Paper: Casile, A., et al., Contrast sensitivity reveals an oculomotor strategy for temporally encoding space, eLife 2019.
Event-based optical flow estimation using Gabor-like space-time filters
Team: Linus Schacht
Paper: Khoei, M.A., Benosman, R., Asynchronous Event-Based Motion Processing: From Visual Events to Probabilistic Sensory Representation, Neural Computation (2019). PDF
Event-based optical flow estimation using separable filters
Team: Bing Li
Paper: Brosch, T., Tschechne, S., Neumann, H., On event-based optical flow detection, Frontiers in Neuroscience, 2015.
Event-based stereo depth estimation using time correlation
Team: Adina Zell, Weiheng Xia, HongYou Zhou
Paper: Kogler, J., Sulzbachner, C., Humenberger, M., Eibensteiner, F., Address-Event Based Stereo Vision with Bio-Inspired Silicon Retina Imagers, Advances in Theory and Applications of Stereo Vision, 2011. (Section 3.4).
Event-based Cooperative Stereo
Team: Daniil Romanchenko and Sergei Ugriumov
Paper: Firouzi, M. and Conradt, J., Asynchronous Event-based Cooperative Stereo Matching Using Neuromorphic Silicon Retinas, Neural Processing Letters, 2016. PDF
Event-based stereo depth estimation using Gabor filters
Team: Brianne Oberson
Paper: Camuñas-Mesa, L. A., Serrano-Gotarredona, T., Ieng, S. H., Benosman, R. B., Linares-Barranco, B., On the use of orientation filters for 3D reconstruction in event–driven stereo vision, Frontiers in Neuroscience, 2014. PDF
Joint inference of multiple quantities (“visual maps”)
Team: Karam Dawoud and Fabio von Schelling Goldman
Paper: Cook, M., Gugelmann, L., Jug, F., Krautz, C., Steger, A., Interacting maps for fast visual interpretation, Int. Joint Conf. on Neural Networks (IJCNN), 2011. PDF, YouTube
Recommended Literature
Goldstein and Brockmole, Sensation and Perception (10th Ed), Cengage Learning, 2016.
Gallego et al., Event-based Vision: A Survey. IEEE Trans. PAMI, 2020.
Snowden, R., Thompson, P., Troscianko, T., Basic Vision: An Introduction To Visual Perception, Oxford University Press, 2012.
Gonzalez and Woods, Digital Image Processing, Pearson, 2011.