AbstractIntuitively it may seem likely that orientation-modulated (OM) and frequency-modulated (FM) textures are processed utilizing the first-order channels that are most responsive to the first-order (luminance) information contained in the textures. This assumption would imply that the detection or segmentation of OM or FM textures is accomplished by second-order mechanisms that receive their first-order input from neurons tuned to either the center, or to the peaks in the orientation and spatial-frequency distribution of the texture. Here we show that at low depths of modulation this is not the case. Using an adaptation paradigm, we show that the first-order filters involved in the perception of OM and FM textures are those which maximi...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
AbstractHumans can easily segregate texture regions based on differences in contrast, orientation, a...
AbstractIntuitively it may seem likely that orientation-modulated (OM) and frequency-modulated (FM) ...
AbstractSubstantial evidence has accumulated for the notion that modulations of second-order propert...
AbstractWe explored the contribution to perception of orientation-modulated textures of visual proce...
AbstractWe have measured the sensitivity of the human visual system to sinusoidal modulations of ori...
AbstractThe processing of texture patterns has been characterized by a model that first filters the ...
AbstractWe have measured the sensitivity of the human visual system to sinusoidal modulations of ori...
AbstractRecent investigations of texture and motion perception suggest two early filtering stages: a...
AbstractStudies of second-order visual processing have primarily been concerned with understanding t...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
AbstractHuman texture vision has been modeled as a filter–rectify–filter (FRF) process, in which ‘2n...
AbstractThe processing of texture patterns has been characterized by a model that postulates a first...
AbstractRecent investigations of texture and motion perception suggest two early filtering stages: a...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
AbstractHumans can easily segregate texture regions based on differences in contrast, orientation, a...
AbstractIntuitively it may seem likely that orientation-modulated (OM) and frequency-modulated (FM) ...
AbstractSubstantial evidence has accumulated for the notion that modulations of second-order propert...
AbstractWe explored the contribution to perception of orientation-modulated textures of visual proce...
AbstractWe have measured the sensitivity of the human visual system to sinusoidal modulations of ori...
AbstractThe processing of texture patterns has been characterized by a model that first filters the ...
AbstractWe have measured the sensitivity of the human visual system to sinusoidal modulations of ori...
AbstractRecent investigations of texture and motion perception suggest two early filtering stages: a...
AbstractStudies of second-order visual processing have primarily been concerned with understanding t...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
AbstractHuman texture vision has been modeled as a filter–rectify–filter (FRF) process, in which ‘2n...
AbstractThe processing of texture patterns has been characterized by a model that postulates a first...
AbstractRecent investigations of texture and motion perception suggest two early filtering stages: a...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
The ability of the visual system to detect stimuli that vary along dimensions other than luminance o...
AbstractHumans can easily segregate texture regions based on differences in contrast, orientation, a...