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We report high angular tolerant transmission visible spectrum filters exploiting strong resonance behaviors in an ultrathin semiconductor layer between two metals. The angle robust property remains over a wide incident angular range up to ±70°.
An automated image processing system has the potential to aid ophthalmologist in diagnosing eye diabetic retinopathy (DR) diseases better, by detecting changes in retina features. This paper introduces the development of detection and classification system that provides DR stage classification based on exudates quantification in digital fundus images. The system can help ophthalmologist to perform...
In this paper, we propose a new approach to detect hand-waving motion in crowds. Different from previous approaches which are often based on segmentation and motion detection, our method can be seen as a complexity reduction process from the problem of 3D motion detection to 2D object detection. Through arranging the same row of per video frame along the time sequence, we obtain 2D images composed...
In this paper we present a new local and multiscale disparity estimation algorithm. Results show that the proposed method can preserve arbitrarily shaped depth discontinuities. Some results obtained from this method are shown as depth maps and synthetic views produced using the estimated disparity maps.
The motivation of the proposed method is to solve typical problem for multiple object tracking like partial background change, motion blur, object's occlusion, temporal movement, merging of object(s), etc. In this paper, we have proposed a color-based probability matching for real-time object(s) tracking. The proposed method is capable to detect moving object(s) and track the same object(s) which...
Paper presents design, experiments and results with Optical Correlator based Traffic Signs Inventory System. The system has been designed and tested on highway D1 on Slovakia. The real traffic scenes were used. The system consists of five main blocks; Video Capture, GPS module, Preprocessing, Optical Correlation and Display. Video is captured with color camera and GPS coordinates are continuously...
Augmented reality (AR) allows us to experience real-world objects onto which some extra visual information has been added by illumination from a projector. Most of the projected objects in AR research remain stationary, such as a white figure mounted on a desk, a wall, a screen, and so on. We have proposed, and successfully demonstrated, an AR system for dynamic objects, such as a flying ball, a moving...
Optical Flow is a very important topic in computer vision, with applications in object tracking, motion estimation and video compression. Recently, Tao et al. proposed the Simple-Flow algorithm - a non-iterative method whose running times increase sublinearly with the number of pixels. SimpleFlow does not use global optimization and uses only local evidence, achieving significant speedups in parallel...
Optic disc (OD) localization is an essential step of developing computer-assisted diagnostics. In this paper, we present a fast and robust method to locate the OD center in digital retinal images. The horizontal and vertical location of the OD are be detected respectively, using two main features of the OD, vascular direction and intensity variance. Four public datasets, including 89 normal images...
Summarizing and understanding video shot based on their contents is an important research topic in multimedia data mining. People tend to search their interested shots from a plenty of videos and many algorithms are used in this field. The algorithm based on histograms is one basic technology of existing methods, however, traditional histograms have the limit on similarity measurement and usually...
The paper presents technical aspects related to the video computer analysis of people movement in the sales rooms. Automatic generation of the people density maps (also referred to as the “heat maps”) is helpful for the analysis of customers' and employees' behavior in sale and office rooms advertising effectiveness research or tracking movements. Generation of the density maps was realized with the...
Particle filter (PF) has proven successfully for nonlinear and non-Gaussian estimate problems, but its degeneracy will influence the results of tracking. Therefore in the paper, the optical flow algorithm is utilized to generate the proposal distribution of particle filter. With the velocity message which is estimated by optical flow algorithm, the particles could be generated in a right direction...
3-D motion estimation is a fundamental problem that has far-reaching implications in robotics. A scene flow formulation is attractive as it makes no assumptions about scene complexity, object rigidity, or camera motion. RGB-D cameras provide new information useful for computing dense 3-D flow in challenging scenes. In this work we show how to generalize two-frame variational 2-D flow algorithms to...
This paper presents a GIS-centric computer vision system for tracking high-speed skaters in competition and training situations. This system outputs spatio-temporal trajectories that are analyzed through presented geometric, physical and power-based models in order to evaluate sports performance. Through spatial SQL and shared database access, the GIS enables the manipulation of the trajectories and...
In this paper, we present a new method to establish quasi-dense correspondence between a pair of stereo images without camera calibration. Our proposed method is based on the traditional snake formulation using an energy function. The energy function incorporates a new matching term. When the energy function is minimized, the control points along the curves in a stereo pair are matched. Moreover,...
As light is attenuated when disseminating in water, the clarity of images or videos captured under water is usually degraded to varying degrees. By exploring the difference in light attenuation between in atmosphere and in water, we derive a new underwater optical model to describe the formation of an underwater image in the true physical process, and then propose an effective enhancement algorithm...
This paper presents a new method to detect notching in the optic cup using retinal images. Optic cup notching is an important feature in differentiating normal from glaucomatous eyes. The proposed notching detection method comprises four steps: disc and vessel segmentation, vessel bend detection at key regions, feature points selection and automatic classification. The key step of vessel bend detection...
Although there are many works that have been done in face tracking, most of them are not suitable for realtime requirement in smart phones which have computation limitations. In the other hand, simple algorithms capable of applying for mobile devices still have some problems in tracking. With the combination approach, we propose a face tracking system that is fast, accuracy, and easy to implement...
We present the design and demonstration of ultra-thin plasmonic color filters, providing a powerful approach for subtractive color filtering with high spatial resolution and ultra-compact architectures on sub-micrometer scales.
We demonstrate that vertical silicon nanowires function as photodetectors whose spectral sensitivities are controlled by choice of nanowire radius. The measured external quantum efficiencies of fabricated devices are compared to electromagnetic simulations.
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