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Current state-of-the-art mesh quality measures evaluate closed and complete meshes obtained after mesh postprocessing applications, such as mesh simplification or watermarking, and compare them against the corresponding reference mesh. Emerging 3D immersive VR/AR applications use noisy 3D point cloud, typically from single RGB-D camera (such as Microsoft's Kinect) to generate standalone (no reference)...
We propose a two-stream network for face tampering detection. We train GoogLeNet to detect tampering artifacts in a face classification stream, and train a patch based triplet network to leverage features capturing local noise residuals and camera characteristics as a second stream. In addition, we use two different online face swaping applications to create a new dataset that consists of 2010 tampered...
"STAT (U) ES" is an interactive art that enables a subjective experience of site-specificity using projectionmapping and facial recognition system. This work consists of two parts, a camera part that captures facial images and a projection part where an image of the Buddhist Sculpture is projected on wooden boxes. A viewer is first instructed to read the caption of the work and the facial...
The knowledge of driver distraction will be important for self driving cars in the near future to determine the handoff time to the driver. Driver's gaze direction has been previously shown as an important cue in understanding distraction. While there has been a significant improvement in personalized driver gaze zone estimation systems, a generalized gaze zone estimation system which is invariant...
There is an increasing trend for finding solutions to interact with computers, and computers in turn interact with people. For an effective human-computer intelligent interaction, this must be natural, the computer interpreting the user's emotional state to adapt to its behavior, giving an appropriate response to those emotions. This paper presents a software application for emotional states recognition...
Thermal image has many applications on image processing such as human detection, face recognition and physiological signal evaluation, etc. The respiratory rate is an important physiological signal, and it is highly related to emotion and some diseases. Therefore, we propose a non-contact method to estimate the respiratory rate from thermal image in this paper. Thermal image can provide the information...
Face recognition is a personal identification method using biometrics that is gaining the attention in this research field. The face recognition process can be done without the human and devices interaction, so it can be applied in several applications. In additions, the face recognition systems are typically implemented at different places in unconstrained environments. Hence, the study of the factors...
Social graph analysis for preschool education is discussed in this paper. Our social graph describes relations between preschool children and preschool teachers. The preschool teachers wear eyeglasses equipped with a video camera, and they take a video in their childcare. The social graph is created by a face recognition and authentication systems that perform identification for children and preschool...
This paper presents a quadcopter capable of tracking a human face using an embedded system which consists of an autopilot for controlling the vehicle and an Odroid computer for image processing. Image acquisition is performed by a fisheye monocular camera. A digital treatment consisting of a Gaussian filter and a histogram equalization is applied, reducing false positives in the detection algorithm...
Recently, deep convolutional neural networks (DC-NNs) have set a new trend in the computer vision community by improving the state-of-the-art performance in almost all of applications. We propose DCNN-based face recognition algorithm. This paper aims at analyzing and verifying considerations when the proposed method is implemented in a real environment. First, Multiple images of the same scene are...
Face authentication emerges as a powerful method for preventing unauthorized access to mobile devices. It is, however, vulnerable to photo-based forgery attacks (PFA) and videobased forgery attacks (VFA), in which the adversary exploits a photo or video containing the user's frontal face. Effective defenses against PFA and VFA often rely on liveness detection, which seeks to find a live indicator...
We present an approach that allows the Georgia Tech Miniature Autonomous Blimp (GT-MAB) to detect and follow a human. This accomplishment is the first Human Robot Interaction (HRI) demonstration between an uninstrumented human and a robotic blimp. GT-MAB is an ideal platform for HRI missions because it is safe to humans and can support sufficient flight time for HRI experiments. However, due to complex...
The objective of this paper is to present an algorithm for processing infrared images and accomplishing automatic detection and path tracking of moving subjects with fever. The detection is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera and the temperature of the radiating object. These features are used for tracking...
The accessible acquisition of 3D models of human heads has many applications, such as anthropological studies, ergonomic product design and digital avatar animation. In this paper we introduce a low-cost system that accurately reconstructs 3D models of the human head using a consumer RGB-D sensor. Our proposed system uses an RGB-D sensor (i.e. the Microsoft Kinect) as the 3D sensing device and the...
Growing number of surveillance and biometric applications seek to recognize the face of individuals appearing in the viewpoint of video cameras. Systems for video-based FR can be subjected to challenging operational environments, where the appearance of faces captured with video cameras varies significantly due to changes in pose, illumination, scale, blur, expression, occlusion, etc. In particular,...
In this work, a system that determines the following-up status of spectators, from video scenes that belonging to a presentation to a group, by evaluating the positions of people in a group and a person in stage, was designed and performed. System is evaluating images from at least two cameras synchronously. From images that taken from one of the cameras, the position of the person in the stage, is...
Digital cameras are widely used in desktop and notebook PCs. Taking self-portraits is one of the important function of such cameras, which allows users to capture memories, create art, and improve photography techniques. A desktop environment with a large display and a pan-and-tilt camera provides users with a good area for exploring more angles and postures while taking self-portraits. However, most...
Planar spoofing is a well researched problem, wherein a high quality planar photograph can be replayed in front of a still camera as a substitute for another individual's face. Most modern day face recognition systems can be fooled by this process, as the perceptual information contained in a photo-of-a-photo, is virtually the same as that of a natural photograph of an individual. Current solutions...
In this study, with the help of the front camera of a smart phone, decreasing the possibility of accident by analysing the state of sleep from the movements of the driver and the car is aimed and a program which informs the driver's relatives via sending them a short message service in case of an accident is worked on. Detection of the speed of the car by using global positioning system and accelerator...
An application for tracking and detecting faces in videos and in cameras which can be used for multipurpose activities. The intention of the paper is deep study of face detection using open CV. A tabular comparison is performed in order to understand the algorithms in an easier manner. It talks about various algorithms like Adaboost, Haar cascades. This paper aims to help in understanding the best...
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