领先
发表于 2025-3-27 00:40:29
“Mother Tongues” of a Multidialectal CityLeast Squares (NLS) function we can compute correctly the position of the two eyes using 6 landmarks for each of them and the pose of the head. Then an active pan-tilt camera is oriented to one of the users eyes. This way a high precision gaze direction determination is accomplished.
Vulvodynia
发表于 2025-3-27 02:51:47
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禁止
发表于 2025-3-27 07:35:41
Conference proceedings 2014ntains 5 invited papers. The papers cover a range of topics in the field gait and behaviour analysis; iris analysis; speech recognition; 3D ear recognition; face and facial attributes analysis; handwriting and signature recognition; and multimodal and soft biometrics.
corpuscle
发表于 2025-3-27 10:56:00
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Guileless
发表于 2025-3-27 16:52:37
Curriculum Mapping and Bridging Pedagogies,f behavioral features related to the movements of head, elbows and knees is a very effective tool for gait characterization and people recognition. In particular, our experimental results shows that it is possible to achieve 96% classification accuracy when discriminating a group of 20 people.
BURSA
发表于 2025-3-27 19:50:49
https://doi.org/10.1007/978-94-007-6476-7hile showing good recognition performance on some of the most referenced public iris dataset, is also able to perform a one-to-one comparison in a small amount of time thanks to its low computing load, thus resulting particularly suited to iris recognition applications on mobile devices.
遍及
发表于 2025-3-27 23:10:51
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牵连
发表于 2025-3-28 03:25:53
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MENT
发表于 2025-3-28 07:28:41
Human Classification Using Gait Featuresf behavioral features related to the movements of head, elbows and knees is a very effective tool for gait characterization and people recognition. In particular, our experimental results shows that it is possible to achieve 96% classification accuracy when discriminating a group of 20 people.
条约
发表于 2025-3-28 10:34:20
Fast Iris Recognition on Smartphone by means of Spatial Histogramshile showing good recognition performance on some of the most referenced public iris dataset, is also able to perform a one-to-one comparison in a small amount of time thanks to its low computing load, thus resulting particularly suited to iris recognition applications on mobile devices.