Estimation of camera motion from a given image sequence is a common task for multi-view 3D computer vision applications. Salient features (lines, corners etc.) in the images are used to estimate the motion of the camera, also called egomotion. This estimation suffers from an error built-up as the length of the image sequence increases and this causes a drift in the estimated position. In this l...

License plate recognition (LPR) by using morphology has the advantage of resistance to brightness changes; high speed processing, and low complexity. However these approaches are sensitive to the distance of the plate from the camera and imaging angle. Various assumptions reported in other works might be unrealistic and cause major problems in practical experiences. In this paper we considered ...

Although unsupervised person re-identification (Re-ID) has drawn increasing research attention recently, it remains challenging to learn discriminative features without annotations across disjoint camera views. In this paper, we address the Re-ID with a conceptually novel yet simple framework, termed as Multi-label Learning guided self-paced Clustering (MLC). MLC mainly learns three crucial mod...

The aim of the project is to provide a comprehensive survey on the issue of the 3D scene reconstruction from 2D self-calibrated and totally uncalibrated camera views. Image reconstruction is a very important area in the field of computer vision, robotics, and image processing, Several approaches has been suggested and tested. This project will survey reconstruction methods for multiple motion s...

The plenoptic camera is a tool capable of recording significantly more data concerning a particular image than a conventional camera. This additional data is analyzed to produce several views of a particular phenomenon as though taken at different locations with a single exposure. The separate views are then compared using correlation algorithms on features within a scene to find a disparity ma...

To preserve eye contact in teleconferencing both the camera and the monitor need to be positioned on the same optical axis which, in practice, is usually not possible. We propose a method to construct the view from a virtual coaxial centered camera given two cameras mounted on either side of the monitor. Stereoscopic analysis of the two camera views provides a partial three-dimensional descript...

We propose a simple method for computing a metric rectification of a plane from multiple views taken by Ki = diag( fi, fi,1) cameras. The orthogonality properties of this camera model are exploited from an early stage to achieve a straightforward optimization process with only two degrees of freedom, even if the fi in all views are unknown. We study the optimization landscapes for several typic...

|This paper presents a linear algorithm for recovering 3D a ne shape and motion from line correspondences with uncalibrated a ne cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D a ne reconstruction of \line directions" into 2D projective reconstruction of \points". ...

In this work the direct self-calibration of a camera from three views of a unknown planar structure is proposed. Three views of a plane are sufficient to determine the plane structure, the view's positions and orientations and the camera's focal length. This is a non-linear optimizac tion problem that is solved using the heuristic Differential Evolution. Once an initial structure is obtained, t...

An e cient algorithm to accurately estimate depth and occluded points from two or more uncalibrated views is presented. The basic concept is to apply a dynamic programming technique for displacement estimation, after estimating the exact positions of two corresponding epipolar lines. The ultimate goal is to be able to automatically generate accurate 3-D models from two or more views of a scene ...