Abstract
For the examination and clinical assessment of the esophagus, video endoscopy is applied. Video clips and still images are generated along these procedures which are then used for routine documentation. Due to the tight tubular geometry of the esophagus and the constrained field of view of endoscope devices, the provided insight into the esophagus and the relation to contextual information are limited. In this contribution, a shape-from-shading approach for the computation of panorama images of the esophagus wall from gastroscopic video is presented. Furthermore, the content of these panorama images can be mapped back to the original video data which gives the advantages of both panorama-view for improved contextual information and unaltered detail-views for improved examinations.