Methods of Automatic Face Angle Recognition for Life Support and Safety Systems

The vision of the surrounding and people that are within eyeshot influences the human well-being and safety. The rationale of system development that allows recognizing faces from difficult perspectives online and informing timely about approaching people is undisputed. The manuscript describes the methods of automatic detection of equilibrium face points in the bitmap image and methods of forming 3D face model. The optimal search algorithm for equilibrium points has been chosen. The method of forming 3D face model basing on a single bitmap image and building up the face image rotated to the preset angle has been proposed. The algorithm for estimating the angle and algorithm of the face image rotation have been implemented. The manuscript also reviews the existing methods of forming 3D face model. The algorithm for the formation of 3D face model from a single bitmap image and a set of individual 3D models have been proposed as well as the algorithm for forming different face angles with the calculated 3D face model aimed to create biometric vectors cluster. Operation results of the algorithm for face images formation from different angles have been presented

Methods of Automatic Face Angle Recognition for Life Support and Safety Systems

The vision of the surrounding and people that are within eyeshot influences the human well-being and safety. The rationale of system development that allows recognizing faces from difficult perspectives online and informing timely about approaching people is undisputed. The manuscript describes the methods of automatic detection of equilibrium face points in the bitmap image and methods of forming 3D face model. The optimal search algorithm for equilibrium points has been chosen. The method of forming 3D face model basing on a single bitmap image and building up the face image rotated to the preset angle has been proposed. The algorithm for estimating the angle and algorithm of the face image rotation have been implemented. The manuscript also reviews the existing methods of forming 3D face model. The algorithm for the formation of 3D face model from a single bitmap image and a set of individual 3D models have been proposed as well as the algorithm for forming different face angles with the calculated 3D face model aimed to create biometric vectors cluster. Operation results of the algorithm for face images formation from different angles have been presented

Validation and Completion of Initial Data of Hydrocarbon Reservoirs Development Based on 3D Models

The validation of initial data is an important process to reduce the risk of errors in calculations. The large amount of heterogeneous data in the area of hydrocarbon reservoirs development leads to a significant increasing in complexity and calculation time of data validation. Here, we consider the problem of validation and completion of the initial data for the task of hydrocarbon reservoirs development. A validation and completion method, based on the use of 3D visual models and searching of analogies, is proposed. The results of testing the proposed method on the data of reservoirs of the Tomsk region of the Russian Federation are shown. The results showed that the time of the procedure of validation and completion of the initial data was reduced by 22.2% for projects of reserve calculation and by 32.2% for projects of development forecast in comparison with standard manual validation procedure. During the validation, experts identified 18% and 13.5% more errors with the proposed method for projects of reserve calculation and development forecast, respectively, showing that the proposed method could be an effective tool for data validation and completion