Abstract and Keywords
Computing object boundaries from fragmented image data poses a formidable problem for the visual system. Contours in the image are typically fragmented due to the prevalence of occlusion and camouflage (hence insufficient image contrast). Given two or more such fragments, the visual system must determine not only whether they belong to a single extended contour, but also what shape the contour takes in the “missing” regions. The authors review psychophysical studies investigating how human observers visually interpolate and extrapolate contours. The results point to shape constraints embodied in the visual processing of contours that allow us to formulate consistency criteria for successful interpolation. The authors also discuss various theoretical models of contour interpolation in light of these findings.
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