1,723,362 research outputs found
Oocytes feret diameter.
No full textMean oocyte feret diameter (μm) in 2009 (black box) and mean oocyte feret diameter in 2010 (gray circle). Vertical bars indicate ± SE.</p
Interactive and Audience Adaptive Digital Signage Using Real-Time Computer Vision
No full textIn this paper we present the development of an interactive, content‐aware and cost‐effective digital signage system. Using a monocular camera installed within the frame of a digital signage display, we employ real‐time computer vision algorithms to extract temporal, spatial and demographic features of the observers, which are further used for observer‐specific broadcasting of digital signage content. The number of observers is obtained by the Viola and Jones face detection algorithm, whilst facial images are registered using multi‐view Active Appearance Models. The distance of the observers from the system is estimated from the interpupillary distance of registered faces. Demographic features, including gender and age group, are determined using SVM classifiers to achieve individual observer‐specific selection and adaption of the digital signage broadcasting content. The developed system was evaluated at the laboratory study level and in a field study performed for audience measurement research. Comparison of our monocular localization module with the Kinect stereo‐system reveals a comparable level of accuracy. The facial characterization module is evaluated on the FERET database with 95% accuracy for gender classification and 92% for age group. Finally, the field study demonstrates the applicability of the developed system in real‐life environments
Normalized error curve on FERET.
No full text<p>The most and least accurate estimations along with the average difference between them, for testing using the FERET database.</p
Sur l'origine de quelques motifs ornementaux de la cérmaique peinte d'Aragon
No full textÉ separata de: Bulletin hispanique, t. XIII, nº 3, juillet-septembre 1911Aut. tomados do final do textoNa parte sup. da capa consta: Annales de la Faculté des Lettres de Bordaux et des Universités du Midi. Quatrieme série. Commune aux universités d'Aix, Bordeaux, Montpellier, Toulouse. XXXIIIº anné
The FERET September 1996 Database and Evaluation Procedure
No full text. Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. In this paper, we report on the FERET database and the September 1996 FERET test. This test is the third in a series of supervised face-recognition test administered under the FERET program
CryoEM Workflow Acceleration with Feret Signatures
No full textCommon challenges in cryogenic electron microscopy, such as orientation bias, conformational diversity, and 3D misclassification, complicate single particle analysis and lead to significant resource expenditure. We previously introduced an in silico method using the maximum Feret diameter distribution, the Feret signature, to characterize sample heterogeneity of disc-shaped samples. Here, we expanded the Feret signature methodology to identify preferred orientations of samples containing arbitrary shapes with only about 1000 particles required. This method enables real-time adjustments of data acquisition parameters for optimizing data collection strategies or aiding in decisions to discontinue ineffective imaging sessions. Beyond detecting preferred orientations, the Feret signature approach can serve as an early-warning system for inconsistencies in classification during initial image processing steps, a capability that allows for strategic adjustments in data processing. These features establish the Feret signature as a valuable auxiliary tool in the context of single particle analysis, significantly accelerating the structure determination process
The FERET Evaluation Methodology for Face-Recognition Algorithms
No full textTwo of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to (1) assess the state of the art, (2) identify future areas of research, and (3) measure algorithm performance. 1 Introduction Over the last decade, face recognition has become an active area of research in computer vision, neuroscience, and psychology. Progress has advanced to the point that face-recognition systems are being demonstrated in real-..
The experimental results on FERET database.
No full text<p>The experimental results on FERET database.</p
Erwägungen zu Adjektiven und Quantoren in Nominalphrasenstrukturen
No full textThis paper is a study of the status of adjectives and quantifiers in noun-phrase structures. Its aim is to revise the conception and conclusions presented by Feret (2014). First, the cognitive grammar perspective on conceptual nominal structures and functions of adjectives and quantifiers is presented and reviewed. Next, conclusions concerning positioning of an AP (adjective phrase) and QP (quantifier phrase) in the DP-structure as seen from the generative perspective presented by Feret (2014) are introduced and revised
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