Feature matching–ie finding corresponding point features in different images to serve as tie-
points for camera orientation–is a fundamental step in photogrammetric 3D reconstruction. If …

Stereo matching is a challenging problem, and high-accuracy stereo matching is still
required in various computer vision applications, eg, 3-D scanning, autonomous navigation …

This paper presents a robotic platform, capable of autonomous tunnel inspection, developed
under ROBO-SPECT European union funded research project. The robotic vehicle consists …

Stereo matching process is a difficult and challenging task due to many uncontrollable
factors that affect the results. These factors include the radiometric variations and …

Automatic extraction of buildings from remote sensing data is an attractive research topic,
useful for several applications, such as cadastre and urban planning. This is mainly due to …

Binocular vision uses the parallax principle of the human eye to obtain 3D information of an
object, which is widely used as an important means of acquiring 3D information for 3D …

Stereo matching is a challenging problem with respect to weak texture, discontinuities,
illumination difference and occlusions. Therefore, a deep learning framework is presented in …

Real-time stereo vision is attractive in many areas such as outdoor map** and navigation.
As a popular accelerator in the image processing field, GPU is widely used for the studies of …

Multi-view matching presents significant advantages regarding accuracy, radiometric fidelity
or occlusion handling; however, the limitation of having only two available views remains …

This paper presents a segmentation-based stereo matching algorithm using an adaptive
multi-cost approach, which is exploited for obtaining accuracy disparity maps. The main …