This survey is mainly motivated by the increased availability and use of panoramic image
acquisition devices, in computer vision and various of its applications. Different technologies …

This paper surveys zoom-lens calibration approaches, such as pattern-based calibration,
self-calibration, and hybrid (or semiautomatic) calibration. We describe the characteristics …

State-of-the-art calibration very often constructs models motivated by a real-world device.
Recently, artificial neural networks (ANNs) have been proposed as a more universal …

For zoom micro-vision system containing electrically tunable lens (ETL), traditional
calibration methods are usually ineffective or inefficient due to the limited field of view (FOV) …

In several fields, as industrial modelling, multilayer feedforward neural networks are often
used as universal function approximations. These supervised neural networks are …

In this paper, the design and implementation of a 3D sensing system with adjustable zoom
based on stereo vision and structured light is discussed. The proposed system consists of a …

This paper presents a detection method of control points for the camera calibration and
measurement applications, which is robust to defocus. Our method is based on a ground …

With zoom lenses, both the magnification of the camera and the distance between the lens
and the object plane can be changed. Changes to zoom lens magnification is accompanied …

The calibration of camera systems employing zoom lenses raises several challenges, as
changes in lens control settings introduce various imaging conditions, especially different …

This paper addresses the problem of fitting a functional model to data corrupted with outliers
using a multilayered feed-forward neural network. Although it is of high importance in …