Augmented Reality in Image-guided Surgery

Augmented reality images are difficult to interpret in terms of depth because the virtual or computer-generated part of the image tends to look like it is floating above the real world. In the proposed research, rendering methods that account for the discrepancy in real and virtual images and which improve spatial and depth understanding will be studied. New algorithms grounded in pictorial depth cues such as depth of focus, distance-based edge depiction, ambient shading, and perspective distortion will be developed and tested. Furthermore, new ways to combine real and virtual elements to create AR views will be developed.