By Virginio Cantoni, Dimo Dimov, Massimo Tistarelli
ISBN-10: 3319133853
ISBN-13: 9783319133850
ISBN-10: 3319133861
ISBN-13: 9783319133867
This ebook constitutes the lawsuits of the 1st overseas Workshop on Biometric Authentication, BIOMET 2014, which used to be held in Sofia, Bulgaria, in June 2014. The sixteen complete papers awarded during this quantity have been rigorously reviewed and chosen from 21 submissions. also, this quantity additionally includes five invited papers. The papers disguise various subject matters within the box gait and behavior research; iris research; speech popularity; 3D ear attractiveness; face and facial attributes research; handwriting and signature popularity; and multimodal and smooth biometrics.
Read or Download Biometric Authentication: First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014. Revised Selected Papers PDF
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Extra info for Biometric Authentication: First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014. Revised Selected Papers
Sample text
Gianaria et al. As a benchmark for classification accuracy, we run a first experiment where we discriminate subjects considering only physical features, in particular their height (γ) and arms (α) and legs (β) lengths; this is representative of usual classification based only on simple anthropometric parameters. The classification results using this set of features (S1 ) are shown in Table 2, where it can be noted that ν-SVM yields an accuracy of about 60%. As a second trial we used the set S2 that includes two standard gait parameters, namely stride length (δ) and walking speed (υ) but, as shown in Table 2, the achieved classification accuracy turns to be rather poor.
The problem of denoising of ToF data has been addressed in a number of works [18-21]. Modern denoising approaches, such as edge-preserving bilateral filtering [22] and non-local filtering [23], have been modified to deal with ToF data [19, 21]. In [18], a range-adaptive bilateral filter has been proposed, by adjusting its size according to ToF amplitude measurements, since the noise level in distance measurements varies depending on the amplitude of the recorded signal [19]. In our work, we specifically consider the 2D/ToF fusion in the so-called low-sensing mode.
The two sensors are displaced and have different field of view w and spatial resolution. Therefore, the distance data acquired from the low-resoluttion ToF sensor needs to be projectively aligned and fuused with color data; a process, referred to as 2D/ToF data fusion. Computationally, this requires reprojection of thee depth data from the low-resolution grid to world cooordinates and then back on the higher-resolution grid of the color sensor followed byy resampling to get the depth vaalues at the grid points.
Biometric Authentication: First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014. Revised Selected Papers by Virginio Cantoni, Dimo Dimov, Massimo Tistarelli
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