Optimizing 3D image display using the stereoacuity function

We develop an algorithm that predicts the best presentation of a stereo 3D image in the sense of viewers´ preference. The algorithm operates in three steps. First, the 3D image is classified as either a “foreground dominant” or “background dominant” image. Next, for “foreground dominant” images, a model of the stereoacuity function is used to optimize the perceptual 3D resolution; for “background dominant” images, the nearest surface is placed in the 3D plane of the display screen. A human study was conducted to assess the algorithm and showed that the proposed model produced 3D images which had the best 3D quality scores among several candidate algorithms.