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.
This paper addresses the problem of relative depth estimation using spatial defocus and spectral chromatic aberration presented in hyperspectral data. Our approach produces merged relative sparse depth map using two different methods. The first method constructs a histogram descriptor for edge pixels in each spectral band image. Due to the spectral chromatic aberration, different edge statistical...
A novel visual-based fall detection method used as home-care for the elderly is presented in this note. Firstly, the binary silhouettes of moving human objects in a video sequence captured by a wall-mounted camera are detected, from which the so-called spatial-temporal motion accumulative image is created as the aggregation of human silhouettes evolution both in the image space and the time dimension...
Traditional 2D face recognition has been studied for many years and has achieved great success. Nonetheless, there is high demand to explore unrevealed information other than structure and texture in spatial domain in the faces. Hyperspectral imaging meets such requirements by providing additional spectrum information on objects, in completion to the traditional spatial features extracted in 2D images...
3D reconstruction from hyper spectral images has seldom been addressed in the literature. This is a challenging problem because 3D models reconstructed from different spectral bands demonstrate different properties. If we use a single band or covert the hyper spectral image to gray scale image for the reconstruction, fine structural information may be lost. In this paper, we present a novel method...
Object detection is an important task in very high-resolution remote sensing image analysis. Traditional detection approaches are often not sufficiently robust in dealing with the variations of targets and sometimes suffer from limited training samples. In this paper, we tackle these two problems by proposing a novel method for object detection based on structural feature description and query expansion...
In this paper, we describe the use of concepts from the areas of structural and statistical pattern recognition for the purposes of recovering a mapping which can be viewed as an operator on the graph attribute-set. This mapping can be used to embed graphs into spaces where tasks such as classification and retrieval can be effected. To do this, we depart from concepts in graph theory so as to introduce...
This paper expatiates on the improved fuzzy c-means (FCM) clustering algorithm. In the algorithm, the membership values are determined via the improved method, and the number of the centers of FCM clustering are determined via the number of the peaks of the two-dimensional histogram on the gray-level values of pixels and gradient values of pixel neighborhoods. The application to segmentation of a...
The concept of the one-dimensional bound histogram was given. It is the one-dimensional histogram bound by some prior knowledge, and it can make some image processing methods be simple and feasible. Furthermore, a thresholding method based on the maximum entropy of the one-dimensional bound histogram is proposed. In the method, Pun entropy function is established by means of the bound histogram instead...
In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents...
This research studies the Chinese automobile industry and proposes a cost reduction method for automobiles at the design stage. Since cost data are confidential in many companies, the research resorts to an indirect method to estimate the product cost. The automobile prices and specifications are collected from Web site. Then a panel of experts is invited to estimate product cost ratio using Delphi...
In this paper we present a novel image representation method which treats images as frequency histograms of salient features. The histograms are computed making use of linear discriminant analysis (LDA). The method employs saliency feature extraction and image binarisation. Then subspace-projected features are extracted. Using the saliency maps as the positive and negative labels, the image features...
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.