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Convolutional neural network models have covered a broad scope of computer vision applications, achieving competitive performance with minimal domain knowledge. In this work, we apply such a model to a task designed to deter automated systems. We trained a convolutional neural network to distinguish between images of human faces from computer generated avatars as part of the ICMLA 2012 Face Recognition...
Captchas are frequently used on the modern world wide web to differentiate human users from automated bots by giving tests that are easy for humans to answer but difficult or impossible for algorithms. As artificial intelligence algorithms have improved, new types of Captchas have had to be developed. Recent work has proposed a new system called Avatar Captcha, in which a user is asked to distinguish...
Ensemble feature selection is known for its robustness and generalization of highly accurate predictive models. In this paper, we use different filter-based feature selection methods in an ensemble manner to improve face recognition. The goal is to distinguish human faces from avatar faces. Our approach was able to achieve very high accuracy, 99%, using less than 1% of the pixels in each image. This...
Detecting lies is crucial in many areas, such as airport security, police investigations, counter-terrorism, etc. One technique to detect lies is through the identification of facial micro-expressions, which are brief, involuntary expressions shown on the face of humans when they are trying to conceal or repress emotions. Manual measurement of micro-expressions is hard labor, time consuming, and inaccurate...
In this article, we discuss how to detect occasional social interaction by a group of people in an open space such as a hall by observing the environment by cameras. Since it is known in the field of social psychology that some characteristic arrangement is maintained by each group of people during interaction, previous works have tried to detect social interaction based on the arrangement. However,...
Mixed reality (MR) combines virtual elements with the real, physical world. Virtual elements can be more dynamic - easily moving around or changing appearance. Physical elements are more static but improve immersion and presence. The combination of the two creates dynamic, immersive MR environments. However, individual entities in MR environments, e.g. an object or a character, are typically either...
This paper proposes a HRI framework for recognizing users' locations, identities and behaviors while they are interacting with a robot. The framework including several HRI individual components collects evidences constantly, combines them effectively and creates more reliable information on users to response to the needs of a HRI service application. The framework helps developers of the applications...
Existing robot faces have used as one-way emotional expression and communication device based on actuator control mostly. This paper is about robot face development as a bidirectional interaction interface, not one-way output or expression device, and the application. We added infrared-based touch input system to the uni-directional output device, and then implemented the robot face to be an independent...
A method to improve image processing with interactive evolutionary computing (IEC) is proposed in order to get a satisfactory output image with smaller population size. IEC is a powerful method for designing a system on the basis of human subjective criteria. Image processing with IEC is effective to process images considering human subjective criteria and taste, however, it requires a large PC system...
The recognition of face images is a complicated problem. Face images are often sufferedfrom variations in brightness, head rotation, facial emotions and so on. Besides, amazing abilities of human brain in face recognition in the presence of these variations, contribute to design face recognition systems based on procedure of human brain. Surveying the recognition and perceptual system of human, shows...
During the past years, face and gait recognition in video have received significant attention. Consequently, their recognition problems have challenged due to largely varying appearances and highly complex pattern distributions. However, the complementary properties of these two biometrics suggest fusion of them. Face recognition is more reliable when the person is close to the camera. On the other...
A new class of biometrics based upon ear features was introduced for use in the development of passive identification. This paper presents an efficient technique for automatic ear detection from side face images. The proposed technique detects human's ear without any training or assumption of prior knowledge about the input image, and it does not need any human intervention so it can be used successfully...
Emotional interaction with human beings is desirable for robots. In this study, we propose an integrated system which has ability to track multiple people at the same time, to recognize their facial expressions, and to identify social atmosphere. Consequently, robots can easily recognize facial expression, emotion variations of different people, and can respond properly.
Reconstruction of ancient artifacts from fragments found at archaeological sites is a tedious task that requires a great human effort and that, during decades, has been manual. In this paper, a new technique is introduced to face, automatically, this kind of problems. Taking as input data 3D models of the fragments, and using a characterization based in hierarchical depth maps, the rigid transformation...
Accurately measuring the location of facial features is an important step in many face recognition algorithms. Every face is unique which means localization needs to be tolerant of differences between individual subjects. Additionally, changing illumination, poor focus, and deformation due to expression changes complicate the problem. This paper introduces a method for locating facial features that...
In our earlier study, we proposed an image morphing based method for information hiding. The basic idea is to hide a secrete image into a morphed image which is obtained from the secrete image and another reference image. To make this method practically useful, it is necessary to produce natural morphed images. This is a necessary condition conceal the existence of the secret image. To produce natural...
Performance of automatic face recognition algorithm has increased considerably over the past decades. However, face recognition under changes in lighting conditions remains a challenging issue for computers. In this paper, we propose a novel face recognition algorithm inspired by information taken from human fixation patterns. We augment a LGBP (Local Gabor Binary Pattern) algorithm - a well-known...
In this paper we propose a way of using the Audio-Visual Description Profile (AVDP) of the MPEG-7 standard for stereo video content description. Our aim is to provide means of using AVDP in such a way that 3D video content can be correctly and consistently described. Since, AVDP semantics do not include ways for dealing with 3D video content, a new semantic framework within AVDP is proposed. Finally,...
Facial expression has an important role for natural interaction among social robots and humans. In this paper, an architecture conceived for imitation of facial expressions is proposed. We describe the computer vision algorithm that was implemented for real-time geometric facial features extraction. It covers face detection, extraction of eyes, eyebrows, nostrils and mouth characteristic points, as...
Service robot has received enormous attention with rapid development of advanced technology in recent years, and it is endowed with the capabilities of performing human-robot interaction (HRI). We construct a sensor fusion based system to integrate the information from both sensors by using a data association approach - Covariance Intersection (CI). It will be used to increase the robustness and reliability...
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