Cue Gradient and Cue Density Interact in the Detection and Recognition of Objects Defined by Motion, Contrast, or Texture

Abstract

The human visual system is able to extract an object from its surrounding using a number of cues. These include foreground/background gradients in disparity, motion, texture, colour, and luminance. We have investigated normal subjects' ability to detect objects defined by either motion, texture, or luminance gradients. The effects of manipulating cue density and cue foreground/background gradient on both detection and recognition accuracy were also investigated. The results demonstrate a simple additive relationship between cue density and cue gradient across forms defined by motion, luminance, and texture. The results are interpreted as evidence for the notion that form parsing is achieved via a similar algorithm across anatomically distinct processing streams.

Dynamic texture spreading: probing the mechanisms of surface interpolation

“…Shipley and Kellman (1993;Cunningham et al, 1998) found that shape identification improved with more signal elements in their displays used in research on spatiotemporal boundary formation. This result was also reported various times for experiments on dynamic occlusion (Andersen and Cortese, 1989;Bruno and Bertamini, 1990;Bruno and Gerbino, 1991;Shipley and Kellman, 1994) as well as by Mateeff et al (1993) and Bull et al (2003) for multi-aperture stimuli. Fidopiastis et al (2000) showed that the strength of color from motion is modulated by the particular layout of the dot array which provides signal elements for form and color information.…”

Static and dynamic visual cues in feed-forward postural control

“…It is important to note that when the frequency of light on the object is low, visual information about the movement of the object is inaccurate. At the same time, when the frequency of light on the object increases, the visual information becomes more accurate (Bull et al 2003). …”