Philip M Preshaw, Christoph A Ramseier, Bruno G Loos, Aušra Balčiūnaitė, Tin Crnić, Kevin Davey, Henrik Dommisch, Johanna B Ettmayer, Anthony Roberts, E Etienne Verheijck, Clemens Walter, Graziano Zappalà
Contemporary educational methods in periodontology
Journal of clinical periodontology
realm computer vision integration advanced techniques preprocessing rgbd camera inputs poses significant challenge given inherent complexities arising diverse environmental conditions varying object appearances therefore paper introduces fusionvision exhaustive pipeline adapted robust 3d segmentation objects rgbd imagery traditional computer vision systems face limitations simultaneously capturing precise object boundaries achieving highprecision object detection depth maps mainly proposed rgb cameras address challenge fusionvision adopts integrated approach merging stateoftheart object detection techniques advanced instance segmentation methods integration components enables holistic unified analysis information obtained color rgb depth channels interpretation rgbd data facilitating extraction comprehensive accurate object information order improve postprocesses object 6d pose estimation simultanious localization mapping slam operations accurate 3d dataset extraction etc proposed fusionvision pipeline employs yolo identifying objects within rgb image domain subsequently fastsam innovative semantic segmentation model applied delineate object boundaries yielding refined segmentation masks synergy components integration 3d scene understanding ensures cohesive fusion object detection segmentation enhancing overall precision 3d object segmentation