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.
Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view images is a fundamental yet active research area in computer vision. Despite the steady progress in multi-view stereo (MVS) reconstruction, many existing methods are still limited in recovering fine-scale details and sharp features while suppressing noises, and may fail in reconstructing regions with less textures. To address...
Automatic neuron reconstruction is one of the foremost challenging and important problem in the field of neuroscience. However, none of the prevalent algorithms can automatically reconstruct full anatomy structure. All of these make it is essential of developing new method for the tracing task. This paper introduced a novel seeding method for reconstructing neuron structures from 3-D microscopy images...
Accurate stripe boundary detection is crucial for stripe coded structured light based 3-D reconstruction. In this paper, we propose an improved stripe boundary location scheme based on steerable filters. In the proposed scheme, adaptive median filter is first used to smooth the input image by suppressing impulsive and non-impulsive noise. Because of their better orientation selectivity than classical...
Locally linear embedding (LLE), recently proposed unsupervised procedure for mapping high-dimensional data nonlinearly to a lower-dimensional space, is shown to yield remarkable good results in exploratory analysis and visualization. LLE is able to learn the global structure of nonlinear manifolds, and it maps its inputs into a single global coordinate system of lower dimensionality, which takes good...
Accurate stripe boundary location is crucial for stripe coded structured light based 3D reconstruction. Intersecting point method might be the most accurate for stripe boundary location. But this method requires project a group of normal and a group of inverse patterns, and thus can not be used in some time- or resource-constrained applications. In this paper, we propose an improved sub-pixel location...
This paper presents a color structured light technique for recovering object shape from images. Coding strategy is one of the most important techniques because it effects the measure precision and efficiency directly. Unlike traditional encoding methods, we design new coloured stripe patterns in order to locate both intensity peaks and edges. Then edge detection method with sub-pixel accuracy is performed...
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.