Parameter identification of depth-depth matching algorithm for liver following

We proposed a depth-depth-matching algorithm as a fast motion transcription algorithm from a real liver to a virtual liver in a surgical navigation. the real is always captured by 3d depth camera,and the virtual is represented by a polyhedron with stl format via dicom captured by mri/ct. in our algorithm,we firstly compare a 2d depth image in a real world and the z-buffer in a virtual world,and secondly search 3 translation and 3 rotation movements by matching both depth images in order for a virtual liver to move against a real liver. in this paper,the performance of our algorithm is ascertained in a pc simulation by changing several parameters and/or the evaluation function. © 2015 penerbit utm press. all rights reserved.