This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
For many medical procedures 3D bone models are built from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) data, both of which are expensive and time consuming, and un...
Chris Baker, Christian Debrunner, William Hoff, Ja...
A new scheme of data-driven segmentation is proposed, which is based on detection of object boundary, and volumetric pattern reconstruction as implicit function by using the detect...
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...