The structure from motion (SfM) problem in computer vision is to recover the three-
dimensional (3D) structure of a stationary scene from a set of projective measurements …

We present a hand-and-foot-based multimodal interaction approach for handheld devices.
Our method combines input modalities (ie, hand and foot) and provides a coordinated output …

This survey is mainly motivated by the increased availability and use of panoramic image
acquisition devices, in computer vision and various of its applications. Different technologies …

This paper describes a method for estimating the motion of a calibrated camera and the
three-dimensional geometry of the filmed environment. The only data used is video input …

Single image calibration is the problem of predicting the camera parameters from one
image. This problem is of importance when dealing with images collected in uncontrolled …

Abstract The use of Unmanned Aerial Vehicles (UAVs) for bridge inspection has gained
popularity recently; however, accurately localising the UAV in GPS-denied areas is still …

Recovering 3D geometry from cameras in underwater applications involves the Refractive
Structure-from-Motion problem where the non-linear distortion of light induced by a change …

This paper proposes a unified theory for calibrating a wide variety of camera models such as
pinhole, fisheye, cata-dioptric, and multi-camera networks. We model any camera as a set of …

In underwater environments, cameras need to be confined in an underwater housing,
viewing the scene through a piece of glass. In case of flat port underwater housings, light …

A reduced order nonlinear observer is proposed for the problem of “structure and motion
(SaM)” estimation of a stationary object observed by a moving calibrated camera. In …