In this paper we present different methods for the calibration and orientation of monocular image sequences and the 3D reconstruction of human characters. Three different situations are considered: a static character imaged with a moving camera, a moving character imaged with a fix camera and a moving character imaged with a moving camera. A self-acquired sequence is used in the first case whil...

It is shown that the problem of independent motion detection can be addressed by analyzing constraints on low-dimensional directional (projected) components of ow elds. We construct a robust algorithm, implemented as a recursive lter, to extract directional motion parameters from long image sequences. Based on this a qualitative approach is described to detect independent motion, involving a co...

This paper deals with the temporal synchronization of image sequences. Two instances of this problem are considered: (a) synchronization of human actions and (b) synchronization of dynamic scenes with view changes. To address both tasks and to reliably handle large view variations, we use self-similarity matrices which remain stable across views. We propose time-adaptive descriptors that captur...

This paper presents a unified approach to automatically build dynamic and multi-resolution 360° panoramic (DMP) representations from image sequences captured by hand-held cameras mainly undertaking rotation and zooming for natural scenes with moving targets. A simple (yet stable) rigid motion model and a closed-loop-based mosaicing algorithm are proposed to generate cylindrical mosaics automati...

Training learning-based deblurring methods demands a tre-mendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, models trained on them cannot handle real images effectively. While have recently been proposed, they provide limited diversity scenes camera settings, capturing for diverse settings is still challenging. To resolve this, ...

Targeting the problems of insufficient utilization temporal and spatial information in videos a lower accuracy rate, this paper proposes human action recognition method for dynamic emergency rescue based on spatial-temporal fusion network. A time domain segmentation strategy random sampling maintains overall structure video. Considering asynchronous relationship, multiple motion sequences are i...

this text carries out some ideas about exact and p− exact sequences of transformationsemigroups. some theorems like the short five lemma (lemma 1.3 and lemma 2.3) are valid here as inexact sequences of r − modules.