Dear Colleagues,
My name is Dr. A. Moshaiov and I am from Tel-Aviv University. I work in the area of robotics. During my research in computer vision I became interested in pseudo-retina models such as in:
Rybak, I. A., Gusakova, V.I., Golovan, A.V., Podladchikova, L.N., Shevtsova, N.A.: BMV: Behavioral Model of Vision Perception and Recognition, Vision Research 38, (1998) 2387-2400
The above work is based on :
Noton, D., Stark, L.W.: Scanpaths in Eye Movements During Pattern Perception. Science, 171 (3968), (1971) 308-311
In particular the results of Noton and Stark prompted the consideration of eye movement scanpaths as behavioral programs for recognition. Rybak et al. have used the behavioral approach and implemented the where and what of a scan-path for their object recognition space-variant system. Rybak et al. suggest that the findings of Yarbus 1967 are in support of their approach.
During my attempt to look into computer learning and detection of partially occluded objects, using a retina-like model, I have started to wonder about Rybak's approach. It appeared to me that because of the unknown whereabouts of the occlusion the behavioral approach should need a modification. Furthermore, I do not find Yarbus results in support of the behavioral approach.
I am interested to know if any of the colleagues reading this message can provide me with more insight. I know from reading a 1995 review of E. Kowler that there are works that link eye-movements to cognition. I am in-particular interested in:
1. A recent review on eye-movements (preferable with a comparison on behavior vs. cognitive approach)
2. Eye-movements (saccades) recordings that compare results of object learning stage with those of object recognition stage (Preferable with changing level of occlusion).
3.In addition I would like to know if there are works that combine eye movement recordings with neural activity recordings, both in general and in particular to the above topic.
I will be glad to know if there are any colleagues who are currently doing related research (items 2 &3). Else to find colleagues who are interested in collaboration on the described topic.
Sincerely,
A. Moshaiov
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