Edge-Based Surface Reconstruction and Object Detection
Camera-based surface reconstruction is a major problem in computer vision. Existing approaches have problems with scenes featuring only sparse or no texturing. For untextured scenes, edges can still offer enough information for a complete 3D reconstruction or object detection. Aim of this project is the development of algorithms coping well with untextured as well as textured environments. A key concept is the use frame-spanning correspondences between 2D and 3D edges obtained via Simultaneous Localization And Mapping. This enables us to perform a hybrid 2D/3D image analysis, striving after an imitation of natural image and scene understanding.