Measurement and Quantitative Analysis of the Human Visual Interpolation Ability for Partially Erased Objects

The human visual system with high-level recognition abilities is able to efficiently and accurately identify an object based on object parts, which is defined as the human visual interpolation ability. In the present study, a letter recognition experiment was designed to evaluate the human visual interpolation ability for partially erased objects. Six subjects were asked to identify partially erased English letters displayed for short time periods. The experiment results suggested that features and correlations between features significantly influence letter identification. Based on the experiment, an algorithm is proposed to quantitatively evaluate the importance of letter features and the human visual interpolation ability for partially erased letters.