Given a pair of stereo images, the spatial coordinates of a scene point can be derived from its projections onto the two considered image planes. Finding the correspondences between such projections however remains the main difficulty of the depth estimation problem: the matching of points across homogeneous regions is ambiguous and occluded points cannot be matched as their projections do not ...

In this paper, we investigate the problem of grasping novel objects in unstructured environments. To address this problem, consideration of the object geometry, reachability and force closure analysis are required. We propose a framework for grasping unknown objects by localizing contact regions on the contours formed by a set of depth edges in a single view 2D depth image. According to the edg...

Self-supervised learning shows great potential in monocular depth estimation, using image sequences as the only source of supervision. Although people try to use high-resolution for accuracy prediction has not been significantly improved. In this work, we find core reason comes from inaccurate estimation large gradient regions, making bilinear interpolation error gradually disappear resolution ...

In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current estimate techniques frequently provide fuzzy, low-resolution estimates. With the use of transfer learning, this research executes convolutional neural network for generating high-resolution map single RGB image. typical encoder-decoder architecture,...

Introduction: Metal corrosion detection is important for protecting lives and property. X-ray inspection systems are widely used because of their good penetrability visual presentation capability. They can visually display both external internal defects. However, existing X-ray-based defect methods cannot present estimate the dense depths. To solve this problem, we propose a metal depth estimat...

Spectral reflectance is often derived from a sequence of images acquired under different, narrowband, infinitely far away illuminants, which means their intensity is constant throughout the scene. When small LEDs, located close to the target are used the light intensity becomes scene depth dependent. We propose to use an RGB+depth camera which lets us model the spatial light intensity falloff a...