1,720,957 research outputs found
Appearance-Based 3D Object Approach to Human Ears Recognition
No full textThe paper presents an approach for recognition of 3D objects using a database (DB) of precedents. Each object of interest for recognition is presented in the DB through a sufficient number of 2D projections (images), each from a different view point. If it is available a CBIR method to access the DB that is to be fast enough and noise resistant, the number of necessary view positions for each 3D object can be substantially reduced, for example, to several tens or a few hundreds of images. The authors have already applied successfully this appear-ance-based approach two times: i) for recognition of palm signs from a sign language alphabet and ii) for human face recognition. The recent advance in 3D scanning technologies allow to fresh up the learning phase of the proposed method, i.e. the DB gathering of the necessary appearance of precedents for 3D objects, now more accurately and simply. At the same time, the true recognition remains based on images from conventional 2D cameras. This study aims to experiment the mentioned approach for the case of human ears recognition, which, according to our research is of interest to the guild on Biometrics, in the country, in Europe and worldwide
3D Ear Analysis by an EGI Representation
No full textIn this paper, a new method to represent human ear for biometrics purposes is introduced. Even if ear has a uniform distribution of color, human external ear characteristics are considered unique to each individual and permanent during the lifetime of an adult. For these reasons ear biometrics approaches are relying on morphological ear properties. Even if ear biometrics is a young topic a variety of approaches have been proposed to characterize the ear geometry and topology. Moreover, note that the ear morphology is the biggest human head concavity, and that its convex hull complement is mainly convex. In this connection, the matching potential for ear discrimination can be effectively exploited through an Extended Gaussian Image (EGI) representation. The original EGI representation and its correspondent concrete data-structure is here applied to ear description and discussed for human authentication and identification purposes
An Approximate String Matching Method for Handwriting Recognition Post-Processing Using a Dictionary
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No full textAbstract The paper presents a fast access method to images in a conventional DB (DataBase). The method is based on twodimensional wavelet transform of images preliminary normalized by size, orientation and intensity. The image content for search is considered the normalized image graphics that should be well localizable into the input query picture. The most essential image data are represented as a key of fixed length, on which the fast access is performed using the index access methods of a conventional DB management system. The method is experimented on a DB of about 4000 images of trademarks. Index Terms image DB-s, image retrieval by content, fast data access method, wavelet transform application
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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