15 November 2007 Computational simulation of second order motion perception
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863G (2007) https://doi.org/10.1117/12.749810
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Physiological studies have provided clear evidence of neurons sensitive to second-order motion, and first-order motion mechanisms are blind to second-order motion. In this paper, we propose a computational simulation of second order motion perception, which bases on energy-based detector with a preceded nonlinear process called texture grabber. Generally, a texture grabber consists of a linear spatial filter, a linear temporal filter and a nonlinear transform, such as full-wave rectification. Here Difference of Gaussians (DoG) functions are used as the spatial filters, and Difference of Gammas (DoGamma) functions are chosen as the temporal filters. A series of experiments are computed and the results confirm that our motion perception system detects second-order motion correctly.
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Bin Sun, Bin Sun, Nong Sang, Nong Sang, } "Computational simulation of second order motion perception", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863G (15 November 2007); doi: 10.1117/12.749810; https://doi.org/10.1117/12.749810
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