National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
From the facial reconstruction based on the skull to the identification of the individual: demands, principles, problems
Moštková, Miroslava ; Brůžek, Jaroslav (advisor) ; Blažek, Vladimír (referee)
Facial reconstruction based on the skull is a technique allowing recreation of the original facial features of an individual. However, recreation of the exact look is nearly impossible at this time. Facial reconstruction is used during archaeological research or during investigation of forensic cases. The facial reconstruction methods used are morphoscopic, morphometric, or a combination of the two. They are used during a manual and computerized process to create two dimensional or three-dimensional reconstruction of the individual. Accuracy and reliability can be determined with each one of these methods by quantitative and qualitative measurements. Reliability and accuracy of the facial reconstruction should also be considered from a view of the facial perception. The human face is perceived in a holistic-analytical way which is based on a calculation of the distances between different features. Facial reconstruction is based on the recognition of familiar faces that are perceived on the basis of internal features that are not influenced by differences in the view angle or expression. Unfamiliar faces are perceived on the basis of from external features. Faces with significant facial features are identified faster. Facial features can be organized by the significance of their influence for recognition of...
Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
From the facial reconstruction based on the skull to the identification of the individual: demands, principles, problems
Moštková, Miroslava ; Brůžek, Jaroslav (advisor) ; Blažek, Vladimír (referee)
Facial reconstruction based on the skull is a technique allowing recreation of the original facial features of an individual. However, recreation of the exact look is nearly impossible at this time. Facial reconstruction is used during archaeological research or during investigation of forensic cases. The facial reconstruction methods used are morphoscopic, morphometric, or a combination of the two. They are used during a manual and computerized process to create two dimensional or three-dimensional reconstruction of the individual. Accuracy and reliability can be determined with each one of these methods by quantitative and qualitative measurements. Reliability and accuracy of the facial reconstruction should also be considered from a view of the facial perception. The human face is perceived in a holistic-analytical way which is based on a calculation of the distances between different features. Facial reconstruction is based on the recognition of familiar faces that are perceived on the basis of internal features that are not influenced by differences in the view angle or expression. Unfamiliar faces are perceived on the basis of from external features. Faces with significant facial features are identified faster. Facial features can be organized by the significance of their influence for recognition of...

Interested in being notified about new results for this query?
Subscribe to the RSS feed.