Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

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

Estimating a scene reconstruction and the camera motion from in-body videos is challenging
due to several factors, eg the deformation of in-body cavities or the lack of texture. In this …

Surgical navigation technology provides minimally invasive surgery (MIS) with the relative
pose relationships amongst medical images, surgical instruments, and lesions. On the other …

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 DOT (Dynamic Object Tracking), a front-end that added to existing
SLAM systems can significantly improve their robustness and accuracy in highly dynamic …

Reconstructing the scene of robotic surgery from the stereo endoscopic video is an
important and promising topic in surgical data science, which potentially supports many …

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 …