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In this paper, we propose a novel learning framework to reformulate a kernel-based classifier in terms of three modular components: kernel-function determination to incorporate domain knowledge, sparse data representation using FastMap and its variants, and supervised classification performed by using primal form analyzers such as linear SVM. The first important property of this approach is the reusability...
Iris recognition has been learnt by many researchers since it can be used to detect and recognize someone better in biometric system. Hence, many researcher have been trying to improve the algorithm for iris recognition self. But, the most problem happened in doing the research is to do the iris localization well. Besides that, the eyelids and eyelashes are also the another problems in iris recognition...
Interpretation of WCE video is nowadays largely left to the visual inspection of a medical specialist. This tedious and time consuming task could greatly benefit from techniques that automatically classify and exclude from further processing the non-relevant frames in the video. To this aim in this paper the construction of an indicator function that takes high value, whenever there is a sudden change,...
In order to provide a railcar image-aided navigation technique, aimed to the characters of the railcar scene, it was presented a real time fusion matching algorithm with multi-resolution and multi-direction features. First, this algorithm preprocessed images to depress the influences of disturbs and noises with the method of fast fuzzy edge variation. Second, it utilized multi-resolution images to...
Since recent advances of remote sensing instruments have significantly improved sensor's spectral resolution, pixel resolution is larger than the object size, such that the hyperspectral signal collected by the sensor at each pixel is formed by an integration of signals, which can be considered macroscopically pure, are usually named ldquoendmembersrdquo in hyperspectral image. It is top of all in...
Blind source extraction is one of the most important problems for multi-sensor networks. We propose a blind source extraction and deconvolution method in the presence of noise. We use MA-model for the signal generation model, and the convolutive observation model. The parameter of MA-model and the observations are obtained from an alternating least square (ALS) algorithm. The reconstruction is done...
Recent research results have shown more benefits of the management of code clones, rather than detecting and removing them. However, existing clone management approaches are still unsatisfactory, and either incomplete or inefficient, due to the lack of incremental clone detection tool supports. In this paper, we introduce such an incremental clone detection tool, called ClemanX. Our empirical evaluation...
New image retrieval technology, which is used for a service demonstration project ldquoView Search Hokkaidordquo in ldquoInformation Grand Voyage Projectrdquo conducted by Ministry of Economy, Trade and Industry, Japan, is presented in this paper. The new technology enables image retrieval based on low-level features without utilizing any tag-based scheme and realizes a 3D interface for image retrieval...
In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point cloud datasets. In this paper, we modify their mathematical expressions and perform a rigorous analysis on their robustness and complexity for the problem of 3D registration for overlapping point cloud views. More concretely, we...
With the continuing increase in the number of images collected every day from different sensors, automated registration of multisensor/multispectral images has become a very important issue. This is especially true when pre- and post-event image comparison is concerned: for this particular application, the requirement of obtaining the earliest possible post-event image imposes the use of data potentially...
In this paper, a road extraction approach for suburban areas from high resolution CIR images is presented. The approach is region-based: the image is first segmented using the normalized cuts algorithm, then the initial segments are grouped to form segments, and road parts are extracted from these segments. Ideally roads in the image correspond to only one extracted road part, but they are often covered...
This paper proposes a new method to deal with visual information expression of image formation and systematization based on visual information representation theory, and analyzes the characteristics of multi-source remote sensing image from the perspective of remote sensing imaging mechanism, and expatiates some pivotal rules regarding visual information during image capturing, description and reconstruction...
In this paper, we propose a new approach for clustering faces of characters in a recorded television title. The clustering results are used to catalog video clips based on subjects' faces for quick scene access. The main goal is to obtain a reasonable result for cataloging in a short time as soon as the recording phase is over. To enable high-speed processing, similarities of shots where the characters...
Recently, several image retrieval systems have been developed, which regard the Web as a large scale image database. In this study, we use the image itself as index keys. From the Web, a set of similar images is retrieved based on numerical characteristics of images and simultaneously text information accompanying with the images is presented to a user. The user evaluates the relationship between...
STP-BV is a bounding volume made of patches of spheres and toruses. These patches are assembled so that a convex polyhedral hull is bulged, in a tunable way, into a strictly convex form. Strict convexity ensures at least C1 property of the distance function -and hence, its gradient continuity. STP-BV were introduced in our previous work [1], but proximity distance queries were limited to pairs of...
In this paper, we propose a novel approach for palmprint matching. We retrieve line-patterns in a rotation and translation invariant manner that tackles broken line problem. The local structure of line pattern is extracted as a set of pairwise angle relationships, which are simple, invariant to translation and rotation, robust to end-point erosion and segment error, and sufficient for discrimination...
For urban area orthorectification, in order to orthorectify a building to its correct, upright position, the building must be represented as part of the surface to be rectified. Therefore, an exact digital building model, which describes the building structure, three-dimensional coordinates, topologic relationship, etc., is required. This paper first presents the parametrerized CSG building model...
This paper proposes a hybrid recommender system that utilizes latent features. The main problem discussed in this paper is the cold start problem. To handle this problem, the proposed system first extracts latent features from items represented by a multi-attributed record using a probabilistic model. Then, it calculates the similarity of users from their ratings. Both similarities between items and...
In this paper, a new image retrieving method is proposed, which integrates color features, and integrates color histogram, relevance feedback, the partition color and the genetic algorithms. First, by analyzing images' color histogram, dasiaexample imagespsila which have the same global color feature are founded out. Then, by using relevance feedback for these images, images which user thought are...
Content base image retrieval is an important research field with many applications. In this paper we presents a new approach for finding similar images to a given query, in a general-purpose image database using content-based image retrieval. Color and texture are used as basic features to describe images. In addition, a binary tree structure is used to describe higher level features of an image....
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