This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …

Abstract 3D object reconstruction from a single image is a highly under-determined problem,
requiring strong prior knowledge of plausible 3D shapes. This introduces challenge for …

We introduce OpenIllumination, a real-world dataset containing over 108K images of 64
objects with diverse materials, captured under 72 camera views and a large number of …

The problem of single-view 3D shape completion or reconstruction is challenging, because
among the many possible shapes that explain an observation, most are implausible and do …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Intrinsic image decomposition separates an image into a reflectance layer and a shading
layer. Automatic intrinsic image decomposition remains a significant challenge, particularly …

Camera shake during exposure leads to objectionable image blur and ruins many
photographs. Conventional blind deconvolution methods typically assume frequency …

This paper addresses extracting two layers from an image where one layer is smoother than
the other. This problem arises most notably in intrinsic image decomposition and reflection …

This paper proposes a new energy minimization method called multiplicative intrinsic
component optimization (MICO) for joint bias field estimation and segmentation of magnetic …