Improving 3D Imagery with Variable Convergence and Focus Accommodation for the Remote Assessment of Fruit Quality

This paper shows and discusses the implementation of new ideas we propose with the aim to overcome the visual discomfort that arises when using 3D visualization. Our proposal can be summarized as the improvement of 3D visualization by replicating the way human eyes see, in other words, the increase of human-like perception. We do so by extracting reality information from stereo image pairs and process them in order to improve the final 3D image before displaying it to the user. We describe the techniques used to extract information from stereo images as well as the techniques created to manipulate them in order to produce human-like perception with the aim of reducing visual discomfort in users of the stereo visualization system. We also describe the results of a preliminary evaluation that strongly suggests the effectiveness of these techniques