We consider a multisensor network fusion framework for 3-D data registration using inertial
planes, the underlying geometric relations, and transformation model uncertainties. We …

We present a fast and efficient Structure-from-Motion (SfM) pipeline for refinement of camera
parameters and 3D scene reconstruction given initial noisy camera metadata …

A robust camera pose refinement approach for sequential wide-area airborne imagery is
proposed in this letter. Image frames are sequentially acquired, and with each frame, its …

We describe a fast and efficient camera pose refinement and Structure from Motion (SfM)
method for sequential aerial imagery with applications to georegistration and 3-D …

Aerial video captured from an airborne platform has an expanding range of applications
including scene understanding, photogrammetry, surveying and mapping, traffic monitoring …

Combining images from multiple cameras using computational imaging techniques is a
common way in remote sensing to achieve a larger field-of-view (FOV) and wider scene …

Three-dimensional reconstruction of objects, particularly buildings, within an aerial scene is
still a challenging computer vision task and an importance component of Geospatial …

Multi-sensor networks provide complementary information for various tasks like object
detection, movement analysis and tracking. One of the important ingredients for efficient …

For the underwater target detecting task, a binocular vision system specialized to the
underwater optical environment is proposed. The hardware platform is comprised of a image …

Stereo machine vision can be used as a Space Sampling technique and the cameras
parameters and configuration can effectively change the number of Samples in each …