The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Visual object counting (VOC) is important in many real-world applications. Our previous work approximated sparsity-constrain example-based VOC (ASE-VOC) works well with insufficient training data. It assumes that image patches share the similar local geometry with counterpart density maps, and then the density map of the image patch can be estimated by preserving such geometry. However. ASE-VOC has...
In this work, a quality estimation based multi-focus image fusion method (QEBIF) is proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the multi-focus images with their estimated focus levels as weights. Since the visual quality of an image is highly correlated with its focus level, the visual quality is estimated to be the pre-measurements of focus levels. Via...
In this paper, we explore deep learning methods for estimating when the objects were made. Temporal estimation of objects is a challenging task which requires expertise in the object domain. With temporal information of objects, historian, genealogists, sociologist, archaeologist or conservationists can study the past through the objects. Toward this goal, we utilize features from existing deep networks...
The main focus of this work is on analysis of the Differential Doppler method having a designed algorithm for computing and 2-D visualization of the iso doppler curves for three-positional and two-positional moving stations with a stationary target. This work also describes the effect of the target position and velocity vectors of the moving stations on the shape of the iso doppler curves. Using the...
Redirected walking allows users to explore a large virtual environment while there is a limitation of the room size. Previous works tried to present users straight path in a virtual environment while they walked on a curved path in reality. We expand a previous technique to present users a various curved path in a virtual environment while they walked on a particular curved path or a straight path...
This article describes an estimation method for the camera pose through stereo vision. This method allows not only the camera localization, and trajectory finding, but also the realization of a map of characteristics. The proposed algorithm is based on the trilateration method for n spheres and its iterative implementation to solve 3D-3D Visual Odometry. To detect keypoints, SIFT algorithm is used...
The perceived distance estimation in an immersive virtual reality system is generally underestimated to the actual distance. Approaches had been found to provide users with better dimensional perception. One method used in head-mounted displays is to interact by walking with visual feedback, but it is not suitable for a CAVE-like system, like imseCAVE, with confined spaces for walking. A verbal corrective...
Recently, gesture recognition by the motion sensor embedded in wearable device has gradually been a popular research topic in pervasive computing. Traditionally, most of gesture recognition researches are based on sensor waveform of time and frequency domains. Another method based on trajectory estimation is emerging in gesture recognition. This method seems like more effect since it can extract more...
This paper proposes a patch-based keypoints clustering method for long term robust visual tracking. We plan to employ a parallel framework with keypoints matching and estimation for tracking purpose. Patch-based method is implemented in our algorithm to improve the flexibility of system. The template is divided into patches to ensure the spatial constraint of local keypoints. The motion cue of patches...
In this paper, we address the 3D eye gaze estimation problem using a low-cost, simple-setup, and non-intrusive consumer depth sensor (Kinect sensor). We present an effective and accurate method based on 3D eye model to estimate the point of gaze of a subject with the tolerance of free head movement. To determine the parameters involved in the proposed eye model, we propose i) an improved convolution-based...
The fusion of visual and inertial measurement has been popular in mobile robotics community for decades due to the complementary properties of two sensors. The combination of these two sensors offers rich texture of environment and accurate short-time motion prediction, making it particularly suitable for pose estimation, especially in GPS-denied unknown environment. In this paper, we propose a method...
In the paper, we propose a method for improving maneuverability of master-slave systems. We aim for reproducing human skillfulness and dynamic performance in master-slave robots by using assist control for human operators. In this paper, we focus on a reaching task of a master-slave robot and propose an operation assist algorithm based on visual feedback control. It consists of visual recognition...
In this paper, we propose a new feature-point based RGB-D visual odometry approach for estimating the relative camera motion from two consecutive frames. The approach differs from most feature-point based RGB-D visual odometry approaches in two key aspects: (1) we do not directly use point correspondences to compute relative motion, instead, we link each two distinct points to form a line segment,...
The ability to automatically detect the extent of agreement or disagreement a person expresses is an important indicator of inter-personal relations and emotion expression. Most of existing methods for automated analysis of human agreement from audio-visual data perform agreement detection using either audio or visual modality of human interactions. However, this is suboptimal as expression of different...
Recently LiDAR-camera systems have rapidly emerged in many applications. The integration of laser range-finding technologies into existing vision systems enables a more comprehensive understanding of 3D structure of the environment. The advantage, however, relies on a good geometrical calibration between the LiDAR and the image sensors. In this paper we consider visual odometry, a discipline in computer...
For a robot to operate efficiently in a human centered environment, it should be able to interact and learn unknown objects autonomously. Such capabilities will enable a robot to enrich its internal knowledge of the environment without human assistance. However, a crucial limitation of robots is their inability to comprehend representations of novel objects without priors. Human efforts are required...
We consider the dynamic EEG source localization problem with additional constraints on the expected value of the state. In dynamic EEG source localization, the brain sources, also called dipoles, are not stationary but vary over time. Moreover, given our specific EEG experiment, we expect the dipoles to be located within a certain area of the brain (here, the visual cortex). We formulate this constrained...
Shopping of the same or similar types of products as shown in the online TV programs has been highly desired by many people, especially the youth. To meet this eminent market need, we develop a prototype system to enable effortless TV-to-Online (T2O) experience. A key component of this system is the product search that maps specific items embedded in the video into a list of online merchants. The...
Just noticeable difference (JND), which reveals the visibility of our human visual system (HVS), is useful for image/video coding. Due to the content complexity, it is hard to accurately estimate the JND thresholds for different image blocks (e.g., edge and texture). Research on cognitive science indicates that the HVS is adaptive to extract the visual regularities for scene perception and understanding...
Cost aggregation is one of the popular method for stereo matching due to efficiency and effectiveness. Their limitation is a high complexity and some error near the contour, which makes them not to implement in real time. Furthermore, the weakness makes them unattractive for many applications which require the accurate depth information. In this paper, we present a cost aggregation method using the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.