Deep learning based 3D reconstruction techniques have recently achieved impressive
results. However, while state-of-the-art methods are able to output complex 3D geometry, it …

Vehicle re-identification is an important problem and has many applications in video
surveillance and intelligent transportation. It gains increasing attention because of the recent …

We present a new variational method for multi-view stereovision and non-rigid three-
dimensional motion estimation from multiple video sequences. Our method minimizes the …

Internet of Things (IoT) have become the most pervasive and largest computing platform
nowadays. Security plays a more and more important role because of the nature of IoT …

We present a novel method for recovering the 3D structure and scene flow from calibrated
multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

In this paper, we present a new variational method for multi-view stereovision and non-rigid
three-dimensional motion estimation from multiple video sequences. Our method minimizes …

We consider 4D shape reconstructions in multi-view environments and investigate how to
exploit temporal redundancy for precision refinement. In addition to being beneficial to many …

This article proposes a novel approach to nonrigid, markerless motion capture from
synchronized video streams acquired by calibrated cameras. The instantaneous geometry of …

This paper focuses on the task of 4D shape reconstruction from a sequence of point clouds.
Despite the recent success achieved by extending deep implicit representations into 4D …