Feature based Age Prediction for Face Recognition

Face recognition is currently highly researchedarea of computer vision and pattern recognition. Agechanges cause major variations in the appearance ofhuman faces. In this paper, we propose a new agingscheme, which is ultimately to be used in facerecognition applications. It will provide to reduce thememory space and processing times. This proposalrequires only one input image of a subject andproduces an age progressed image of the person at aparticular target age.To implement this training-based approach, over300 high quality facial images ranging from 18 yearsto 70 years in age were collected from the Internet.An age prediction function is a relationship betweena facial image and its corresponding age. Given asingle image of the subject and a target age, weconstruct a new image of the subject to reflect thenew age. Such an image will be useful to predict aperson’s aged face for use in face recognitionsystems

Effective Method of Age Dependent Face Recognition

This Automatic age dependent face recognition system is developed. This approach is based on the Principle Component Analysis (PCA). Eigen face approach is used for both age prediction and face recognition. Face database is created by aging groups individually. The age prediction is carried out by projecting a new face image into this face space and then comparing its position in the face space with those of known faces. After that we find the best match in the related face database, the Eigen face representation of an input image is first obtained. Then it is compared with the Eigen face representation of face in the database. The closest one is the match. It will be reduced the time complexity using this approach. The proposed method preserves the identity of the subject while enforcing a realistic recognition effects on adult facial images between 15 to 70 years old. The accuracy of the system is analyzed by the variation on the range of the age groups. The efficiency of the system can be confirmed through the experimental results

LEARNING THE EFFICIENT ESTIMATION TECHNIQUES FOR SUCCESSFUL SOFTWARE PROJECT MANAGEMENT

The process of software project management involves planning and supervising the development of software projects to deliver a quality product within the customer’s budget and schedule. This process begins with project planning, which includes estimating the work to be done, required resources, and project schedule. Once these activities are accomplished, a project schedule is established that defines software engineering tasks, identifies responsible parties, and specifies inter-task dependencies. The paper aims to explore project management activities and techniques for estimating project size. Overall, software project management involves managing, allocating, and timing resources to develop software that meets requirements and is delivered within budget and schedule. This paper highlights the significance of employing efficient estimation methods to achieve successful software project management. Estimation plays a critical role in the software development process, as it helps project managers to determine the resources and time required for completing the project. The paper starts by introducing the concept of software project management and highlighting its importance in delivering successful projects. The advantages and disadvantages of each technique are discussed, and guidelines for selecting the appropriate technique for a specific project are provided. The paper also explores the importance of accurate estimation in agile software development and the use of estimation tools to simplify the process. Finally, the paper concludes by summarizing the key takeaways from the discussion and emphasizing the significance of efficient estimation techniques in ensuring successful software project management

Preface

Because of the travel restrictions between China and other countries of our keynote speaker, the 9th annual 2021 International Conference on Material Science and Environmental Engineering [MSEE2021] was held on November 27th, 2021 (Virtual Conference). The conference was held via Tencent Meeting Application. MSEE2021 aims to bring researchers, engineers, and students to the areas of Material Science and Environmental Engineering. MSEE2021 features unique mixed topics of Material Science and Advanced Materials, Material Engineering and Application, Environmental Science and Engineering and Mechanical Design and Technology. We received over 197 submissions from various parts of the world. The Technical Program Committee worked very hard to have all manuscripts reviewed before the review deadline. All the accepted papers have been submitted to strict peer-review, and selected based on originality, significance and clarity for the purpose of the conference. The conference program is extremely profound and featuring high-impact presentations of selected papers and additional late-breaking contributions. We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange. There are two keynote speakers and four invited sessions. The keynote speakers are internationally recognized leading experts in their research fields, who have demonstrated outstanding proficiency and have achieved distinction in their profession. The proceedings would be published by IOP Journal of Physics Conference Series. We would like to express our sincere gratitude to all the members of Technical Program Committee and organizers for their enthusiasm, time, and expertise. Our deep thanks also go to many volunteers and staffs for the long hours and hard work they have generously given to MSEE2021. Last but not least, we would like to thank all the authors, speaker and participants for their great contributions to the success of MSEE2021. MSEE2021 Organizing Committee List of Committee of MSEE2021 are available in this pdf.</jats:p