|
|
Gender Recognition from Photograph
Kałuża, Marian ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented Gradients and Local Binary Patterns. The experiment showed that gender recog- nition accuracy can be improved not only by aquiring different features on the same image resolution but even by gathering just a single feature at different image scales. The pre- sented approach is quite competitive with above 95% accuracy in both evaluated datasets.
|
|
|
Overview of methods for person identification using image processing
Palacka, Martin ; Březina, Lukáš (referee) ; Krejsa, Jiří (advisor)
This thesis deals with an overview of methods for person identification using image processing. The beginning of thesis is dedicated to the theoretical study of the skin segmentation method, its algorithm and different color spaces, which are used for identification by this method. The next algorithm is a method called boosted cascade of simple features, while focusing on description of this method, an OpenCV library, computing algorithm, image interpretation by integral image and speed of computation which is reached. The next chapter describes the PCA method, the principles of working, a description of the mathematical model, a study of gender recognition, the results and troubleshooting. The last described methods are fusion of facial strips and pixel patern based texture feature. At the end of this thesis there is the tested application of person identification and gender recognition and the results of the success of methods.
|
|
|
People recognition using facial images
Lindovský, Michal ; Burget, Radim (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis focuses on the person recognition between several millions of people in a few seconds. As a part of my thesis is comparison of two programs which are used for recognizing faces - OpenFace and Face Recognition. Computing times of localization and face encoding are compared. The accuracy of recognition in various tests is compared as well, such as blurred image, brightness changes, age of person or usage of sunglasses. Created web application is made for recognizing people in different databases. Is possible to add or remove databases of people in the application. The application allows to subsume people into database by gender automatically or manually. Face recognition can be speeded up by using multiple processor cores.
|
|
|
People recognition using facial images
Lindovský, Michal ; Burget, Radim (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis focuses on the person recognition between several millions of people in a few seconds. As a part of my thesis is comparison of two programs which are used for recognizing faces - OpenFace and Face Recognition. Computing times of localization and face encoding are compared. The accuracy of recognition in various tests is compared as well, such as blurred image, brightness changes, age of person or usage of sunglasses. Created web application is made for recognizing people in different databases. Is possible to add or remove databases of people in the application. The application allows to subsume people into database by gender automatically or manually. Face recognition can be speeded up by using multiple processor cores.
|
|
|
Gender Recognition from Photograph
Kałuża, Marian ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented Gradients and Local Binary Patterns. The experiment showed that gender recog- nition accuracy can be improved not only by aquiring different features on the same image resolution but even by gathering just a single feature at different image scales. The pre- sented approach is quite competitive with above 95% accuracy in both evaluated datasets.
|
|
|
Overview of methods for person identification using image processing
Palacka, Martin ; Březina, Lukáš (referee) ; Krejsa, Jiří (advisor)
This thesis deals with an overview of methods for person identification using image processing. The beginning of thesis is dedicated to the theoretical study of the skin segmentation method, its algorithm and different color spaces, which are used for identification by this method. The next algorithm is a method called boosted cascade of simple features, while focusing on description of this method, an OpenCV library, computing algorithm, image interpretation by integral image and speed of computation which is reached. The next chapter describes the PCA method, the principles of working, a description of the mathematical model, a study of gender recognition, the results and troubleshooting. The last described methods are fusion of facial strips and pixel patern based texture feature. At the end of this thesis there is the tested application of person identification and gender recognition and the results of the success of methods.
|
guest ::
