We present a dense reconstruction approach that overcomes the drawbacks of traditional
multiview stereo by incorporating semantic information in the form of learned category-level …

Accurate bone modeling from medical images is essential in the diagnosis and treatment of
patients because it supports the detection of abnormal bone morphology, which is often …

We present an algorithm that automatically establishes dense correspondences between a
large number of 3D faces. Starting from automatically detected sparse correspondences on …

Segmenting organs at risk from head and neck CT images is a prerequisite for the treatment
of head and neck cancer using intensity modulated radiotherapy. However, accurate and …

We present a multilinear algorithm to automatically establish dense point-to-point
correspondence over an arbitrarily large number of population specific 3D faces across …

Information transfer between triangle meshes is of great importance in computer graphics
and geometry processing. To facilitate this process, a smooth and accurate map is typically …

Correspondence construction of objects in key frames is the precondition for inbetweening
and coloring in 2-D computer-assisted animation production. Since each frame of an …

Statistical shape modeling (SSM) is widely used in biology and medicine as a new
generation of morphometric approaches for the quantitative analysis of anatomical shapes …

The problem of discrete surface parametrization, ie mapping a mesh to a planar domain, has
been investigated extensively. We address the more general problem of mapping between …

Purpose: In the segmentation of sequential treatment‐time CT prostate images acquired in
image‐guided radiotherapy, accurately capturing the intrapatient variation of the patient …