In this paper, an automatic robotic inspector for tunnel assessment is presented. The proposed platform is able to autonomously navigate within the civil infrastructures, grab stereo images and process/analyse them, in order to identify defect types. At first, there is the crack detection via deep learning approaches. Then, a detailed 3D model of the cracked area is created, utilizing photogram...

Purpose We have shown previously that amblyopia involves impaired detection of asynchrony between auditory and visual events. To distinguish whether this impairment represents a defect in temporal integration or nonintegrative multisensory processing (e.g., cross-modal matching), we used the temporal ventriloquism effect in which visual temporal order judgment (TOJ) is normally enhanced by a la...

This study investigates the geometric accuracy of DSMs and orthoimages, which are obtained from high resolution satellite stereo pairs of in-track, cross-track and mixed satellite images. Four IKONOS and two QuickBird panchromatic images are used to constitute 15 stereo pairs, and are processed to generate DSMs and orthoimages. A geometric stereo model, which represents the stereo acquisition g...

By using mirror reflections of a scene, stereo images can be captured with a single camera (catadioptric stereo). Single camera stereo provides both geometric and radiometric advantages over traditional two camera stereo. In this paper; we discuss the geometry and calibration of catadioptric stereo with two planar mirrors and show how the relative orientation, the epipolar geometry and the esti...

This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained b...

Multi-view stereo reconstruction techniques yield inherently multi-scale point data typically fed into surface reconstruction algorithms. Following the intuition of scale space we assume that sample points originate from smoothed versions of the original surface. The smoothing can be characterized by a smoothing kernel that suppresses fine-scale structures. In this paper, we propose a surface r...

In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the calibration is very decisive in its matching. this study, we will perform matching for with vertical and horizontal configuration that result of image's depth 360-degree field view by transforming image using calibration-based method. The configuration, can be matched directly, but configuring ...

In the paper, we present an approach to inferring 3D subtree structures from image pairs. The 3D structure is treated as a hidden Bayesian network, of which each node corresponds to an attributed skeleton point. The network structure is inferred in a bottom-up fashion. At the beginning, the root node of a subtree is manually specified in the images and then computed using stereo triangulation. ...

This paper i s concerned with estimation of the reflectance map and i t s use in surface shape estimation by a method that combines stereo and shading information. There are many advantages t o the integrated approach. However, shape f rom shading algorithms are limited in their applicability by ihe assumption of idealized reflectance and lighting models involving many preset or hard t o estima...

Thin film photovoltaic cells based on hybrid halide perovskite absorbers have emerged as promising candidates for next generation photovoltaics. Here, we have characterized and identified the defect energy distribution in the CH3NH3PbI3 perovskite using admittance spectroscopy, which reveals a deep defect state ∼0.16 eV above the valence band. According to theoretical calculations, the defect s...