TY - JOUR
T1 - A motion-in-depth model based on inter-ocular velocity to estimate direction in depth
AU - Wu, Wei
AU - Hatori, Yasuhiro
AU - Tseng, Chia huei
AU - Matsumiya, Kazumichi
AU - Kuriki, Ichiro
AU - Shioiri, Satoshi
N1 - Publisher Copyright:
© 2020 The Authors
PY - 2020/7
Y1 - 2020/7
N2 - Perception of motion in depth is one of the most important visual functions for living in the three-dimensional world. Two binocular cues have been investigated for motion in depth: inter-ocular velocity difference (IOVD) and changing disparity (CD). IOVD provides direction information directly by comparing velocity signals from the two retinas. In this study, we propose for the first time a motion-in-depth model of IOVD that predicts motion-in-depth direction. The model is based on a psychophysical assumption that there are four channels tuned to different directions in depth (Journal of Physiology 235 (1973) 17–29). We modeled these channels by combining outputs of low-level motion detectors that are sensitive to left and right retinal stimulation. Using these channels, we constructed a model of motion in depth that successfully predicted a variety of psychophysical results including direction discrimination, perceived direction, spatial frequency tuning, effect of speed on rotation in depth, effect of lateral motion direction, and effect of binocular and temporal correlations.
AB - Perception of motion in depth is one of the most important visual functions for living in the three-dimensional world. Two binocular cues have been investigated for motion in depth: inter-ocular velocity difference (IOVD) and changing disparity (CD). IOVD provides direction information directly by comparing velocity signals from the two retinas. In this study, we propose for the first time a motion-in-depth model of IOVD that predicts motion-in-depth direction. The model is based on a psychophysical assumption that there are four channels tuned to different directions in depth (Journal of Physiology 235 (1973) 17–29). We modeled these channels by combining outputs of low-level motion detectors that are sensitive to left and right retinal stimulation. Using these channels, we constructed a model of motion in depth that successfully predicted a variety of psychophysical results including direction discrimination, perceived direction, spatial frequency tuning, effect of speed on rotation in depth, effect of lateral motion direction, and effect of binocular and temporal correlations.
KW - Interocular velocity difference
KW - Model
KW - Motion channels
KW - Motion direction perception
KW - Motion-in-depth
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U2 - 10.1016/j.visres.2020.04.002
DO - 10.1016/j.visres.2020.04.002
M3 - Article
C2 - 32388210
AN - SCOPUS:85085534686
SN - 0042-6989
VL - 172
SP - 11
EP - 26
JO - Vision Research
JF - Vision Research
ER -