Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

In this paper, we introduce the new task of reconstructing 3D human pose from a single
image in which we can see the person and the person's image through a mirror. Compared …

One of the central problems in stereo matching (and other image registration tasks) is the
selection of optimal window sizes for comparing image regions. This paper addresses this …

We propose an easy-to-implement yet accurate calibration method for large-scale 3D
measurements that makes use of a regular-sized phase target and two planar mirrors. Being …

Augmented Reality (AR) see-through vision is an interesting research topic since it enables
users to see through a wall and see the occluded objects. Most existing research focuses on …

We propose an easy-to-implement and accurate calibration method for large-scale stereo-
digital image correlation (stereo-DIC). First, the intrinsic parameters of each camera are …

A high-accuracy calibration technique using a white paper and a front coating plane mirror is
proposed in this paper for line-structured light vision sensors. This method shows …

Human motion capture either requires multi-camera systems or is unreliable when using
single-view input due to depth ambiguities. Meanwhile, mirrors are readily available in …

Abstract Using three-dimensional (3D) targets to solve the transformation relationship
between the local and global coordinate systems is a common global calibration method …