A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods for matching images by applying position lines, convolutions and invariants to the group of affine transformation for 2D and 3D images are examined. Proper comparison is a necessary condition for solving the recognition problem. Proper use of the position-line method for reducing face images to the normalized form is shown. © 2018, Allerton Press, Inc
Tests of face recognition methods require large amounts of face images. This thesis investigates whe...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
The purpose of this study is to develop a face recognition algorithm by making use of the advantages...
This paper presents a method for face recognition across variations in pose ranging from frontal ...
The essence of face recognition within the image is generally computer vision, which provides method...
This master's thesis considers methods of face recognition. There are described methods with differe...
A new technique is described for recognizing faces from new viewpoints. From a single 2D image of a ...
In this article, computer vision is considered as modern technology of automatic processing of graph...
Automatic face recognition has been a di cult problem in the eld of computer vision for many years. ...
Abstract—This paper presents a method for face recognition across variations in pose, ranging from f...
The paper is concerned with the recognition of faces at application of different methods of global f...
Introduction. Restoration and identification of images of faces are widely used in scientific and ap...
Face recognition is such a challenging yet interesting problem that it has attracted researchers wit...
A working face recognition system requires the ability to represent facial images in such a way that...
Recognition systems based on model matching using low level features often fail due to a variation i...
Tests of face recognition methods require large amounts of face images. This thesis investigates whe...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
The purpose of this study is to develop a face recognition algorithm by making use of the advantages...
This paper presents a method for face recognition across variations in pose ranging from frontal ...
The essence of face recognition within the image is generally computer vision, which provides method...
This master's thesis considers methods of face recognition. There are described methods with differe...
A new technique is described for recognizing faces from new viewpoints. From a single 2D image of a ...
In this article, computer vision is considered as modern technology of automatic processing of graph...
Automatic face recognition has been a di cult problem in the eld of computer vision for many years. ...
Abstract—This paper presents a method for face recognition across variations in pose, ranging from f...
The paper is concerned with the recognition of faces at application of different methods of global f...
Introduction. Restoration and identification of images of faces are widely used in scientific and ap...
Face recognition is such a challenging yet interesting problem that it has attracted researchers wit...
A working face recognition system requires the ability to represent facial images in such a way that...
Recognition systems based on model matching using low level features often fail due to a variation i...
Tests of face recognition methods require large amounts of face images. This thesis investigates whe...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
The purpose of this study is to develop a face recognition algorithm by making use of the advantages...