To improve the efficiency of facial expression recognition, this paper puts forward a kind of recognition algorithm based on local binary pattern (LBP) and empirical mode decomposition (EMD). First of all, process the empirical mode decomposition into the preprocessing facial image, and bring forward many a high frequency images instead of the original image; then, divide the sub domain of the ...

We took the face, especially eye or eye gaze, into consideration for discussing the non-verbal interface media. We first proposed a passive eye-camera system based on the facial image processing such as Hough transform for iris recognition. Next we proposed a method for generating eye-contacted facial images by computer image processing for enforcing and improving the quality of facial, nonverb...

Facial expressions can be used to direct the flow of a conversation as well as to improve the clarity of communication. The critical physical differences between expressions can, however, be small and subtle. Clear presentation of facial expressions in applied settings, then, would seem to require a large conversational agent. Given that visual displays are generally limited in size, the usage ...

We took the face, especially eye or eye gaze, into consideration for discussing the non-verbal interface media. We proposed a method for generating eye-contacted facial images by computer image processing for enforcing and improving the quality of facial, nonverbal communication on the net such as VIDEO Conference. We second proposed a passive eye-camera system based on the facial image process...

In this paper a new technique Directional 2DPCA is used for facial recognition. Facial image firstly rotated in different angle, the directional 2DPCA that can extract features from the matrixes in any direction. In 2DPCA given the information in each row, but it cannot be uncovered the structural information. Facial features can be extracted applying any angel. Features were extracted from ori...

Facial Expression detection or Emotion Recognition is one of the rising fields of research on intelligent systems. Emotion plays a significant role in non-verbal communication. An efficient face and facial feature detection algorithms are required to detect emotion at that particular moment. The paperpresents a new approach to the problem of extracting the facial components from a still facial ...

Automated face annotation aims to automatically detect human faces from a photo and further name the faces with the corresponding human names. Most of the images are obtained from World Wide Web (WWW), so there is possibility of getting noisy and incomplete images. This study tackle problem by investigating a search-based face annotation (SBFA) paradigm for mining large amounts of facial images...

This paper proposes a deep leaning method to address the challenging facial attractiveness prediction problem. The method constructs a convolutional neural network (CNN) for facial beauty prediction using a new deep cascaded fine tuning scheme with various face inputting channels, such as the original RGB face image, the detail layer image, and the lighting layer image. With a carefully designe...

The aims of this study were to investigate whether the preferred facial relationship chosen by professionals and the general public is Class I and to ascertain whether viewing two-dimensional (2D) or three-dimensional (3D) images had any effect on the ranking of facial attractiveness. Orthodontists (n = 47), maxillofacial surgeons (n = 25) and members of the general public (n = 78) assessed 2D ...

Digital face images and fingerprint images are included in all newly issued EU passports [Bus06]. Face images stored within electronic passports (ePass) have to conform to ISO/IEC 19794-5 [Inta] which defines a number of quality requirements for facial image data. A software application (QS Software) is used to verify photographic image properties (pose, head/image size, height-to-page ratio, e...