We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question "until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?". Experiments are evaluated on simulated data and a rest is performed with real data.

Artificial intelligence (AI) applications are an integral part of important industries such as healthcare, banking, financial services, insurance science, logistics, transportation, food technology, travel and entertainment. The purpose of this chapter is to examine the factors that influence the intention of insurance industry executives to adopt artificial intelligence applications through proposals concerning technological, organizational and environmental factors such as relative advantage, complexity, top management support, technological capability, financial readiness, market dynamics, regulatory support, competitive pressure and behavioral intention. Using the technology-organization-environment (TOE) framework, the factors that influence the behavioral intention of insurance industry executives to adopt applications using artificial intelligence are examined. A questionnaire was used to collect data, in which insurance company executives from various fields were asked to complete. SPSS was used to analyze the data. This work can lead to the further activation of executives.

The purpose of the current study is to collect and evaluate data on whether and to what extent the renewable energy companies within Greece disclose non-financial information in line with global and international standards. Renewable energy has grown rapidly over the last 20 years as a key aspect of the transition to a less energy-intensive and more sustainable energy system. However, constant competition between companies, finances, taxes, politics and other factors have in many cases created environmentally harmful situations. Even though technology is advancing and supporting these companies, even though international laws for the environment and the safety measures for operations have become stricter, it was, nevertheless, impossible to avoid these situations. The concerns of the public, but also of the renewable energy companies to control, monitor and measure the impacts from their operations to the environment and the life of society around the sites of their operations, lead many companies to publish sustainability reports. This report is published by a company or organization concerning the economic, environmental and social impacts caused by its everyday activities and demonstrates the link between its strategy and its commitment to a sustainable global economy. A framework with specific economic, environmental and social indicators to support reporting for renewable energy companies is corporate social responsibility (CSR) together with the Global Reporting Initiatives (GRI). GRI is an independent international organization that has pioneered sustainability reporting. It is very important to determine the extent to which these enterprises really contribute to sustainable development.