In this paper, we present an efficient method for calibrating many camera views simultaneously. We derive an error function based on the mutual consistency of the object silhouettes in pairs of views and explicitly derive gradients that are employed for minimizing the error function. Our experimental results suggest that the gradient-based minimization of the error function robustly calibrates ...

This paper presents a generic framework for novel view synthesis from two uncalibrated reference views that allows to move a virtual camera along a curve that is obtained starting from the epipolar geometry of the reference views. The scene is described by its relative affine structure from which novel views are extrapolated and interpolated. The main contribution of this paper is an automatic ...

In this paper nonparametric statistical technology is derived for estimating with confidence a 3D configuration of points from noncalibrated camera views of such a configuration. This is applied to pattern recognition of a spatial scene, from multiple views, in absence of occlusions. keywords scene reconstruction, pinhole camera views, image analysis, projective shape data analysis AMS subject ...

The reconstruction of photorealistic 3D models from camera views is becoming an ubiquitous element in many applications that simulate physical interaction with the real world. In this paper, we present a low-cost, interactive pipeline aimed at nonexpert users, that achieves 3D reconstruction from multiple views acquired with a standard digital camera. 3D models are amenable to access through di...

This paper investigates the detection of global abnormal behaviours across a network of CCTV cameras. Although the problem of multiple camera tracking has attracted much attention recently, little work has been done on modelling global behaviours of objects monitored by a network of CCTV cameras with disjointed camera views, and no effort has been taken to tackle the challenging problem of dete...

Many studies have now confirmed that it is possible to recognize people by the way they walk. As yet there has been little formal study of identity tracking using gait over different camera views. We present a new approach for people tracking and identification between different non-intersecting uncalibrated cameras based on gait analysis. An identification signature is derived from gait kinema...

II I hereby certify that this material, which I now submit for assessment on the programme of study leading to the award of Ph.D. is entirely my own work and has not been taken from the work of others save and to the extent that such work has been cited and acknowledged within the text of my work. Abstract While both work with images, computer graphics and computer vision are inverse problems. ...

Abstract Maritime vessel re-identification (re-ID) is a computer vision task of identity matching across disjoint camera views. Prominent applications re-ID exist in the fields surveillance and maritime traffic flow analysis. However, field suffers from absence large-scale dataset that enables training deep learning models. In this study, we present new includes 4614 images 729 vessels along wi...

The image motion of a planar surface between two camera views is captured by a homography (a 2D projective transformation). The homography depends on the intrinsic and extrinsic camera parameters, as well as on the 3D plane parameters. While camera parameters vary across different views, the plane geometry remains the same. Based on this fact, we derive linear subspace constraints on the relati...