As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …

We propose a new approach to 3D reconstruction from sequences of images acquired by
monocular endoscopes. It is based on two key insights. First, endoluminal cavities are …

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an
effective screening technique, navigating an endoscope through the colon to detect polyps …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Deducing the 3D structure of endoscopic scenes from images is exceedingly challenging. In
addition to deformation and view-dependent lighting, tubular structures like the colon …

Three-dimensional reconstruction of images acquired through endoscopes is playing a vital
role in an increasing number of medical applications. Endoscopes used in the clinic are …

In this paper we present NR-SLAM, a novel non-rigid monocular SLAM system founded on
the combination of a Dynamic Deformation Graph with a Visco-Elastic deformation model …

Video streams are utilised to guide minimally-invasive surgery and diagnosis in a wide
range of procedures, and many computer-assisted techniques have been developed to …

There is often a significant gap between research results and applicability in routine medical
practice. This work studies the performance of well-known local features on a medical …