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- W2019299425 abstract "A theoretical foundation and concrete stimulus-construction methods are provided for studying motion-from-spatial-texture without contamination by motion mechanisms sensitive to other aspects of the signal. Specifically, examples are constructed of a special class of random stimuli called texture quilts. Although, as we demonstrate experimentally, certain texture quilts display consistent apparent motion, it is proven that their motion content (a) is unavailable to standard motion analysis (such as might be accomplished by an Adelson/Bergen motion-energy analyzer, a Watson/Ahumada motion sensor, or by any elaborated Reichardt detector), and (b) cannot be exposed to standard motion analysis by any purely temporal signal transformation no matter how nonlinear (e.g., temporal differentiation followed by rectification). Applying such a purely temporal transformation to any texture quilt produces a spatiotemporal function P whose motion is unavailable to standard motion analysis: The expected response of every Reichardt detector to P is 0 at every instant in time. The simplest mechanism sufficient to sense the motion exhibited by texture quilts consists of three successive stages: (i) a purely spatial linear filter, (ii) a rectifier (but not a perfect square law) to transform regions of large negative or positive responses into regions of high positive values, and (iii) standard motion analysis." @default.
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- W2019299425 date "1991-12-01" @default.
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- W2019299425 title "Texture quilts: Basic tools for studying motion-from-texture" @default.
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- W2019299425 doi "https://doi.org/10.1016/0022-2496(91)90042-r" @default.
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