Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This paper presents a method of reducing visual fatigue for 3D image viewing. We, based on Epipolar geometry, compare with the conventional method focusing on adjusting baseline of image. Our unique idea is that the scaling of baseline is used to adjust the disparity of the left and right images to reduce visual fatigue. The experimental validation indicates that our proposed method can be adopted...
In this paper, we propose a simple object tracking based on background modeling using histogram matching. Different from the existing block-based background modeling methods, most researches focus on a background subtraction. However, that includes a problem on visually object tracking and unreliable coordinate information. In this work, we implement background modeling and generate ‘background map’...
This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in this paper, we propose a method focusing on the robust-rotation recognition algorithm by using a CCD (Centroid...
In this paper, we generate the valid search range information for prediction of search range. We compare a previous frame with a current one for acquiring disparity levels of pick values and the sum of object pixel values in each frame. The result obtained from comparing two frames is used to estimate the search range for the next frame. Also, to reduce the processing time, we use sub-sampled images...
In this paper, we have suggested a dynamic search range method to reduce a matching cost of the local stereo matching process basing on the sparse representation theory. The suggested method analyzes sparse disparity map, generating the valid search range information and then using the analyzed information skip the region where the matching blocks are not likely to be found in a dense disparity map...
Viewing three-dimensional display causes visual fatigue which is considered as a primary task to be solved for a wide spreading of the three-dimensional devices and contents. In this paper, we have proposed Low Visual Fatigue Stereoscopic Auto Focus to reduce the visual fatigue of viewing a three-dimensional display in stereo camera. The suggested algorithm analyzes the input scene and finds the best...
In our related work, we proposed Cognitive Stereo Auto Focus for stereo camera. Instead of moving optical axis, Cognitive Stereo Auto Focus shifts one side image to the opposite side for setting focus. In the shifting process, focus point should be set on the proper place not to cause any side effect produced by visual fatigue to user. To perform low visual fatigue focusing, Cognitive Stereo Auto...
In this paper, a new hardware implementation for the real time disparity map is presented. The real time disparity map includes the Dynamic Search Range Estimation, Disparity estimation, and Error Correction. Our demonstrated design flow shows an approach to implementation and hardware architecture of real-time disparity map estimation. This design is efficiently synthesized on Xilinx vertex 5 VLX...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.