Depth sensing is crucial for 3D reconstruction and scene understanding. Active depth
sensors provide dense metric measurements, but often suffer from limitations such as …

Exploration vehicles need accurate localization for performing tasks such as autonomous
navigation. Images captured from stereo cameras allow to estimate both the robot's motion …

Although stereo vision research has progressed remarkably, stereo systems still need a fast,
accurate way to estimate confidence in their output. In the current paper, we explore using …

It is frequently remarked that designers of computer vision algorithms and systems cannot
reliably predict how algorithms will respond to new problems. A variety of reasons have …

Techniques for estimating depth for a video stream captured by a monocular image sensor
are disclosed. A sequence of image frames are captured by the monocular image sensor. A …

Radiometric normalization is an essential preprocessing step for almost all remote sensing
applications such as change detection, image mosaic, and 3-D reconstruction. This article …

In off-road environments, the assessment and classification in travers-able and non-
traversable areas is a challenging task. Not only does the drive-ability depend on the …

The paper presents an approach for error estimation for the various steps of an automated
3D vision-based reconstruction procedure of manufactured workpieces. The process is …

This thesis investigates stereo vision based techniques for supporting work with
teleoperated mobile robots. In particular, the tasks of navigation and control of the robot in …

In this paper environment is modeled using depth information provided by a stereo vision
system. Workspace is decomposed into voxels which are the smallest volume of …